PhD

Angela Tabiri

Angela Tabiri

Born in Tema, Ghana • Studied Mathematics at the University of Glasgow, UK • Highest Degree PhD in Mathematics • Lives in Accra, Ghana • Occupation Lecturer

Growing up in Accra, Ghana, I loved mathematics. I found joy in solving mathematics questions but I did not envision a career in mathematics as a thing for me. My older sisters studied business courses at the university so I decided to follow in their footsteps and applied to study Business Administration as my first choice course at the University of Ghana. Fortunately or unfortunately, I could not gain admission for my first choice program and had to settle for my second choice which was mathematics and economics. Nevertheless, I loved the challenge mathematics presented. I had to spend hours after lectures revising lecture notes and solving exercises. I found this thrilling.

My motivation for giving back to the community where I grew up was to give students from less privileged backgrounds access to quality education.

After undergraduate studies, I went to the African Institute for Mathematical Sciences (AIMS) Ghana for postgraduate studies. It was at AIMS that I got exposed to different fields of mathematics. From AIMS Ghana, I went to the International Centre for Theoretical Physics (ICTP) for a postgraduate diploma in mathematics. The program at ICTP was very challenging but it helped convince me that I could pursue mathematics further.

After postgraduate studies, I became conscious of the opportunities available when one studies mathematics. Prior to this, most of us thought anyone who studied mathematics at the university would end up as a teacher. This is not to say that teaching is not a good profession, I love teaching. When I realised the many opportunities available after postgraduate studies, I volunteered as a mathematics teacher in a junior secondary school in my community. This would inspire the young students that mathematics is not impossible to study as perceived and one could pursue a career in mathematics. In subsequent years, I volunteered as a mathematics teacher for at least a month and donated books to the library of this school. My motivation for giving back to the community where I grew up was to give students from less privileged backgrounds access to quality education.

My research interest is in noncommutative algebras which are abstract analogues of subtraction and division.

I was awarded a Schlumberger Foundation Faculty for the Future Fellowship in 2015 to pursue PhD in Mathematics studies at the University of Glasgow (UofG). In 2019, I graduated with a PhD in Mathematics from UofG, returned to my home country Ghana and started working as a postdoctoral fellow at AIMS Ghana. I am currently a research associate and academic manager for the Girls in Mathematical Sciences Program (GMSP) at AIMS Ghana. I decided to pursue a career in academia because I love teaching and doing research.

A summary of my research interest is as follows. Consider the operations of addition and multiplication, it does not matter the order in which you perform them. That is, 2 + 3 = 3 + 2 and 2 × 3 = 3 × 2. In mathematics, we call this the commutative property. However, the operations of subtraction and division are not commutative. That is 2 − 3 is not equal to 3 − 2 and 2 ÷ 3 is not equal to 3 ÷ 2. We say that subtraction and division are noncommutative. My research interest is in noncommutative algebras which are abstract analogues of subtraction and division. For any shape that you can draw on a flat surface whereby the shape can be described by an equation, we investigate whether we can put a noncommutative structure on the shape to make it a quantum homogeneous space. This area of research is abstract but our hope is that there will be useful applications of our results in a few years time.

Our mission is to inspire young girls about the diverse career options available when you study mathematics and our vision is to see girls being confident to pursue a career in mathematics and related fields.

I am passionate about supporting and promoting women in mathematics which ties in well with my new role as the academic manager for the GMSP. The GMSP is a hybrid 9 month program for high school girls from Ghana to nurture their talents in the mathematical sciences. We meet students monthly online for masterclasses with experts in different fields of mathematics. Then during vacations from school, the students visit the AIMS Ghana campus for residentials where minicourses in mathematics, industrial visits, interactions with mentors and extracurricular activities are undertaken.

I am also the founder of Femafricmaths, a charity that promotes female African mathematicians. We host guests by interviewing them about their journeys with mathematics and share the videos on the Femafricmaths social media pages. Our mission is to inspire young girls about the diverse career options available when you study mathematics and our vision is to see girls being confident to pursue a career in mathematics and related fields.

There are few of us and we need to ensure that barriers are removed so more women can pursue careers in mathematics.

Mentors have played a critical role in my academic and professional journeys. Ken, Ulrich, Prince and Chelsea have been phenomenal mentors who mentor me every step along the way. I have also benefited from the Women in Noncommutative Algebra and Representation Theory (WINART) research group. This is a collaboration between women in mathematics from different universities. I learnt a lot working with this research group comprising both early career and established mathematics.

It is important to be intentional about creating opportunities for women in mathematics. There are few of us and we need to ensure that barriers are removed so more women can pursue careers in mathematics. I was awarded a Schlumberger Foundation Faculty for the Future Fellowship for my PhD studies. This fellowship is for women in STEM from developing countries to enable us to study at top universities abroad and return to our home countries to support teaching and research. It would have been challenging to find other sources of funding for my PhD if I had not been awarded this fellowship by the Schlumberger Foundation.

Link:
Femafricmaths – Female African Mathematicians

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Pamela  Estephania Harris

Pamela Estephania Harris

Born in Guadalajara, Jalisco, Mexico • Birth year 1983 Studied Mathematics at University of Wisconsin, Milwaukee in Milwaukee, WI, USA • Highest degree PhD in Mathematics • Lives in North Adams, MA, USA • Occupation Mathematics Professor

My love for math faded during my high school years. Being undocumented, living in the United States was challenging. Even though I was doing well academically, I thought I might never have the opportunity to attend college. I was sad, and at that time I turned to art as an outlet to deal with the challenges I was facing. I spent most of my senior year in high school in an art studio. I spent countless hours learning to draw, paint, and sculpt. I even dropped out of my calculus class just so that I could have more time to do art. I do not regret that choice, even though going a year without math courses hurt my mathematical skills. At the time, I needed something to help me deal with the anxiety and sadness I was experiencing, and art served me well. 

There I had a meeting where my mentor said “when you go to graduate school”. I had no idea what graduate school was, but I knew that if she believed in me, then I should go to graduate school.

After graduating high school, I was able to enter community college. How that was possible is a story for another day, but the main thing is that, upon entering the program, my mathematical skills were well below calculus. My first college math course was intermediate algebra, where I (re?)learned how to factor polynomials. I vividly remember that day’s lesson where the professor said “To factor x^2+5x+6 we need to find two numbers that add to 5 and multiply to 6.” I immediately raised my hand, proudly announcing that numbers did not do that. How can two numbers multiply and add to something different? Luckily, the professor was very kind and she allowed me to think of examples. After discovering that 2 and 3 did the trick, I felt such joy in understanding something that I had taken for granted: numbers are amazing and in fact multiplication and addition are two distinct things! From there my story began to take shape. 

After intermediate algebra I took all of the math courses the community college offered and later transferred to a four-year college to continue studying math. There I had a meeting where my mentor said “when you go to graduate school”. I had no idea what graduate school was, but I knew that if she believed in me, then I should go to graduate school. So, on I went! 

My professional mission is to ensure that mathematics is a welcoming place for everyone, and I am eager to keep working on this for as long as I live.

I always knew that I would like to be a teacher. There is something so beautiful about seeing someone understand something. Most people call that an “aha” moment, and it truly is special. I also knew that education is a path out of poverty and into opportunity. Being an immigrant, I knew firsthand that having options is one key component to a happy life. So, I have always wanted to help others reach their goals and attain their dreams. However, it was not until almost the completion of my PhD that I decided to be a college professor. Finding this as a career option was great because it has allowed me to continue learning while doing research and teaching students. Creating new programs and platforms that provide mentorship and support for students from groups who have been historically excluded from higher education has also been deeply fulfilling. This outreach work keeps me grounded and reminds me that there is still a lot of work to be done in order for everyone to have meaningful and positive experiences with mathematics. My professional mission is to ensure that mathematics is a welcoming place for everyone, and I am eager to keep working on this for as long as I live. 

Throughout those early years I could have used a larger community of support and to see others like me occupy positions and careers like those I had an interest in.

Being an immigrant, previously undocumented, and a Latina woman meant I rarely saw people like me in mathematics. Throughout those early years I could have used a larger community of support and to see others like me occupy positions and careers like those I had an interest in. Sadly, it took a long time to find a community of scholars who shared similar backgrounds and heritage. Yet this motivated much of my past work and inspired me and Drs. Alexander Diaz-Lopez, Alicia Prieto Langarica, and Gabriel Sosa to co-found the organization Lathisms: Latinxs and Hispanics in the Mathematical Sciences. Our goal is to share and amplify the contributions of Latinx/Hispanic scholars in math. We do this through a variety of means including Hispanic Heritage Month (in the US it is celebrated between September 15 and October 15) events, a podcast, and even a new book — Testimonios: Stories of Latinx and Hispanic Mathematicians. The book’s chapters will be freely available one per month starting in September 2021 and our hope is that this book provides a way for those within the community to learn of our stories while also giving advice to those who want to learn more about us and how to support our work. Although there is much work to be done so that those from historically excluded groups feel valued and uplifted in mathematics, I am hopeful that initiatives like Lathisms are making this reality possible.

Links:
Lathisms: Latinxs and Hispanics in the Mathematical Sciences
Testimonios: Stories of Latinx and Hispanic Mathematicians

Posted by HMS in Stories
Carolin Dirks

Carolin Dirks

Born in Steinfurt, Germany • Studied Maths at the University of Münster, Germany • Highest Degree Doctorate in Maths • Lives in Steinfurt, Germany • Occupation Software Developer at LVM Versicherung (insurance company)

When I started studying maths, I was frequently asked what I was planning to do after graduating. “Who wants to hire a mathematician? Do you want to end up in a boring job working in the financial sector or in an insurance?” Of course, like most of my fellow students, I did not have a satisfying answer to these questions. Today, after several years of studying and struggling with lots of formulas, proofs and theorems, I have learned two very important lessons: First, that there are thousands of opportunities in very different branches of industry and academia a mathematician can take, and second, that having an inspiring and exciting job and working for an insurance is not a contradiction.

And what came next finally took me to the decision to stay with maths for the rest of my life: I realised that I was not the worst student (though not the best either), and I was fascinated by the clarity and pure logic of mathematical problems, forming a huge contrast to the, in my opinion, very unclear analysis of poems and classic literature (sorry to those who would disagree with this point).

In my experience, studying maths is a decision made out of the interest for logical structures, for clarity and puzzles, but not for a particular future job. Unlike many others, the presence of this interest was not clear to me until I reached the last years of high school. Thus I cannot claim that I had always been fascinated by mathematics, though I was never a bad student, my interests lay elsewhere – largely in learning languages, which I still try to spend some time with beside my current job. This changed due to a sudden and, at least in retrospect, very fortunate coincidence: When I had to choose my advanced courses for my last two years at school (every German academic high school student has to decide for two), due to organisational reasons I ended up in the advanced maths class. For a few weeks, I was quite depressed, being sure that I would be the most stupid student next to all those maths geniuses. And what came next finally took me to the decision to stay with maths for the rest of my life: I realised that I was not the worst student (though not the best either), and I was fascinated by the clarity and pure logic of mathematical problems, forming a huge contrast to the, in my opinion, very unclear analysis of poems and classic literature (sorry to those who would disagree with this point). Out of this fascination I finally made the decision to study maths, without having a specific career aspiration and even without having any idea about possible careers.

Although in my opinion, society made great progress in overcoming gender-specific obstacles, I also made the experience that women interested in computer stuff are still a bit unusual. This caused me to be suspicious – would I be good enough, would I be able to establish myself in this branch and would I find a job as a mathematician?

At the university, I fought my way through the first few semesters without a specific plan – but instead with lots of very close new friends with the same mind-set, since studying maths is not least a matter of team work. In my fourth semester, I first encountered the field of numerical mathematics, which, roughly speaking, can be explained as the area of intersection between maths and computer science. I realised how closely related these two fields are: Computer science can be used to solve lots of mathematical problems, while every computer program uses the “language” of mathematics and logics. I was fascinated by the variety of applications and decided to concentrate on this field in my further studies. And slowly, very hesitantly in the beginning, I started thinking that maybe I could become a software developer. Hesitantly because up to this point, I never had any points of contact with computer science in my life, not because I was not interested, but simply because it never came to my mind. Although in my opinion, society made great progress in overcoming gender-specific obstacles, I also made the experience that women interested in computer stuff are still a bit unusual. This caused me to be suspicious – would I be good enough, would I be able to establish myself in this branch and would I find a job as a mathematician? To find the answers to all these questions, I needed to try it out – so I tried, and it was worth it.

Before this rough idea could emerge to a specific plan, a few more years had to pass by. After graduating, I was still insecure about what I wanted to be. Not only, but also not at least in order to postpone a “final” decision, I decided to stay at the university and do a PhD, despite again fighting with my doubts of being good enough. This turned out to be a great idea – I was now able to contribute my own ideas and, in this way, further develop my interests and strengths, all the time attended by a great, supporting and understanding scientist. And although I was for sure not the best student (thanks to my supervisor’s patience at this point), I finally made it, having learned one of the most important lessons in life: You can do it if you really try.  

At this point in my life, I knew what I wanted: To use my mathematical logical knowledge in combination with my (at this point, quite acceptable) programming skills to contribute to something “tangible”, something someone could really make use of […].

After finishing my PhD (and now, with a particular plan, namely to become a software developer), I applied for my first job outside of academia. At this point in my life, I knew what I wanted: To use my mathematical logical knowledge in combination with my (at this point, quite acceptable) programming skills to contribute to something “tangible”, something someone could really make use of (sadly this is something missed by many maths students during their studies). The explicit sector was not important for me, since I found for myself that those really deep and specific programming problems are fascinating no matter if the application behind is just a web-enabled water boiler. So I thought, why not an insurance company? The job advertisement sounded very interesting. The company was looking for developers for a completely new contract software, which would be used by the insurance agencies all over Germany. This promised not to be the boring insurance job every first-year maths student is afraid of, so I took the chance. Retrospectively, I am very happy about the path I took, and proud of having had the courage to take it, regardless of my doubts and fears of not being good enough. Although this is something several maths students have in common, most of my former fellow students also share the ability of tenacity, they do not give up easily, but make their way and realise that it works – in the end, the struggle was worth it and I would strongly recommend to just give it a try.

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Miren Zubeldia Plazaola

Miren Zubeldia Plazaola

Born in Oñati, Basque Country, Spain • Birth year 1984 • Studied Mathematics at Universidad del Pais Vasco/Euskal Herriko Unibertsitatea (UPV/EHU) in the Basque Country, Spain • Highest Degree PhD in Mathematics at UPV/EHU • Lives in Oñati, Basque Country • Occupation Math teacher and Yoga teacher

Curiosity and desire to know are words that describe me quite well. I have always asked myself a lot of questions about everything, and this also happened to me in Math classes, specially in high school. I wanted to know more, go deeper, make sense of all the abstract notions that we were learning. I was the annoying student that asked the uncomfortable questions to the teacher. But I never considered to study Math. Actually, my idea was to study Physical Education, since sports have always been an important part of my life and understanding the biomechanics of the human body has always interested me a lot.

It was my school counsellor who encouraged me to study Math. At the beginning I did not see it very clearly. I thought that I did not fit in with the mathematicians’ stereotypes that I had in my mind. I thought that it would be too hard, that I would have to study so much that it would be difficult to combine with my sport life, since I was playing in a handball team and did not want to give it up. But at the same time this idea appealed to me a lot and I decided to give it a try.

I really enjoyed my undergraduate studies at university. I fell in love with Math. I met wonderful people. Although it was not my plan, thanks to an amazing female professor, I decided to embark on the PhD journey. They were beautiful years, with ups and downs, in which I had the opportunity to travel a lot, to live in different places, to meet many people, to expose myself to new experiences, to learn a lot about Math and also about life, to get to know myself better. It was a rich adventure. I am very thankful that I had the privilege to experience this journey.

It was not an easy decision, but after 8 years since I started my Master, I decided to take a break and I quitted my short scientist career.

After my PhD, I went to Helsinki to work as a postdoc. It was there where I discovered Yoga, and I started asking even more questions about everything in general. I spend few years trying to fit in the lifestyle of academia, trying to find a way of being coherent with myself, my will and my feelings, dealing with millions of doubts about how to find the balance between my personal and my professional life. It was not an easy decision, but after 8 years since I started my Master, I decided to take a break and I quitted my short scientist career.

For me, Yoga and Math are very related. Both try to answer the existential questions of life, each discipline from its own point of view.

Since then, I have been very involved with Yoga. It has become in an essential part of my life. I founded a Yoga studio together with one of my friends in my hometown. For me, Yoga and Math are very related. Both try to answer the existential questions of life, each discipline from its own point of view. Both are abstract and awaken your inner imagination. Both disciplines give you very useful tools to manage your everyday life and to deal with everything that happens in life.

Nowadays, in addition to teaching yoga, I also teach Math at the university. This combination is a good balance for me. I do not know exactly what my future career path will be, but it is clear to me that in one way or another mathematics will be there. If you have a call to study Math, I would like to encourage you from the bottom of my heart. It will be enriching in all aspects of your life.

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María Eugenia Cejas

María Eugenia Cejas

Born in La Plata, Buenos Aires, Argentina • Birth year 1988 • Studied Mathematics at Universidad Nacional de La Plata, Argentina • Highest Degree PhD in Mathematics • Lives in La Plata, Argentina • Occupation Professor of Mathematics at the Universidad Nacional de La Plata and image consultant

About the end of high school time I noticed that I wanted to study something that was not common. I started to read some books of math (dissemination books, not formal books) and I discovered that I enjoyed very much how math could be applied to solve different problems. Consequently, I decided to study math at university.

During my university degree I did not encounter any big problems, I just realized that math is really different from what one expects after high school, it can be extremely abstract. The only thing I did during my university time was study to get the degree in time. I was very focused and dedicated to this subject. After graduation I started my PhD, I felt that I wanted to do that, but I also missed having the time to think about and explore other options. I let myself get carried away because it seemed like the next sensible step to take. I chose Harmonic Analysis as my field of research which is an area of pure math and even after studying this subject for more than 8 years, I cannot give you a direct application of it in real life.

I started to feel in crisis with my career, so I decided to study to be an image consultant and fashion producer. Now I am working in the fashion industry while at the same time I do research and teaching.

Two years after finishing my PhD the lack of applications started to bother me, I did not find that my work was helping anybody. It is like you are 10 years of your life studying a lot, following the crowd and you do not stop to think if this is what you want for your entire life. I started to feel in crisis with my career, so I decided to study to be an image consultant and fashion producer. Now I am working in the fashion industry while at the same time I do research and teaching. I am trying to reconcile myself with the mathematical part of my life, right now teaching and research have become my routine, a way to pay my bills, while fashion is my passion. I am leading a double life: I am a professor in mathematics during the day and an image consultant during the weekend and after 7pm during the week. Currently, I prefer to work as an image consultant because it gives me well-being, gratitude and satisfaction, and the opportunity to help others to feel better and more self-confident. In fashion I find usefulness that I do not find in my research field but as of now this is limited to my free time.

During my academic career I encountered some problems: I remember when I started to attend conferences, mainly in Europe, I felt that some “important men” in my area of research were looking down on me. I do not know if it was because I am a woman or because I am from a developing country. Looking back I remember giving presentations in many conferences and these colleagues did not pay any attention while I was lecturing. This type of situations made me feel excluded from the system. Mathematics is a field where there is a lot of competition but I believe that nowadays women are having prominence. Luckily, now there are gender commissions that discuss the problems women face in science and how these can be solved.

If I would have to give an advice I would suggest taking some time to think before making any big decision for the future. Stop to think if this is what you want, if this is your passion.

Summarizing my experience as a researcher I can say that on the one hand, this career gave me a lot of professional growth, made me feel sometimes empowered (mainly when I could prove that theorem that I conjectured), and actually is a crucial part of the woman I am. On the other hand, the job market in my country is frustrating, even before COVID-19 there was already a big financial crisis and there are not a lot of positions for researchers, especially for mathematicians.  Thus, pursuing a career in academia means to wait until you are 40 years old before finally getting a permanent position and a steady life. If I would have to give an advice I would suggest taking some time to think before making any big decision for the future. Stop to think if this is what you want, if this is your passion. Obstacles don’t matter, keep your chin up and go for it!  Maybe my story is not the ideal one, where everything is perfect and linear, but that’s life!

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Paola Console

Paola Console

Born in Taranto, Italy • Birth year 1983 • Studied Mathematics at Università del Salento in Lecce, Italy – PhD at Université de Genève • Highest Degree PhD in Mathematics • Lives in Rome, Italy • Occupation Data Scientist at Enel

I was never good at math until high school. When I was a child, I loved spending my time reading and writing rhyming poems, so everyone in my family was sure my path would have had something to do with liberal arts. For this reason, they were really surprised (and probably worried) to hear I decided to start scientific studies in high school: for me it was a challenge, but I thought that by doing this I would have had a more complete education. There, I met a teacher who changed my life by starting to show math to me as a sequence of logical steps. I began finding it funny, logical, and telling everybody that to me, doing math exercises was comparable to playing crosswords.

After high school, it was logical for me to then start my studies in math in academia, with the idea to become a teacher. But in the end, I decided to complete my studies with a PhD in numerical analysis in Geneva, where I could also study different languages and meet people with different stories and backgrounds.

I really missed my country, my habits, my family, my friends, and therefore coming back home was a fundamental step to being happy in my life.

All the experiences I had while pursuing my PhD made me realize that I loved studying math, but that I prefer to apply it rather than develop new methods and proofs and, furthermore, that living in Italy was fundamental to me: I really missed my country, my habits, my family, my friends, and therefore coming back home was a fundamental step to being happy in life. I then decided to accept a postdoc position in neuroscience in Rome. I loved this job, but it was always meant to be a smooth transition towards the corporate world, where I would start to apply what I love to something more concrete by learning about machine learning and data science.

This experience helped me greatly in landing my current job, about six months after the end of my postdoc. I now work as a data scientist at Enel, one of the biggest private renewable energy companies in the world, in a huge group of data scientists that supports all the businesses and internal service functions, like procurement, in the company. My first projects consisted in applying machine learning techniques to detect faults in power plants, and I was very happy to finally see a real-world application for all my studies. Then I started to develop algorithms for the procurement field and now my main activity is undertaking a huge initiative to forecast the company’s income statement to support management decisions.

For all these reasons, when I think about my path, I am very happy about it, because it seems like I could, in the end, integrate all the different souls I had in my life (…)

What I really love about my current job is that it is based on applying math to the real world, but it is also really focused on relationships. Besides the modeling activities we carry out, I am also coordinating a small group of colleagues and I am involved in many other activities to spread data culture throughout the company with education and communication projects. One of the projects I am most proud of is the creation and the organization of an upskilling program called “Data School”, in which my team provides courses on topics related to data to colleagues of all areas. I think that engaging with people on topics related to data is a fundamental step to collaborate with them and support the data-driven transformation that is the main mission of my team. 

For all these reasons, when I think about my path, I am very happy about it, because it seems like I could, in the end, integrate all the different souls I had in my life: the little girl writing poems, the student that wanted to be a teacher, and the rigorous mathematician.

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Clara Stegehuis

Clara Stegehuis

Born in Amersfoort, The Netherlands • Birth year 1991 • Studied Applied Mathematics at Twente University in Enschede, The Netherlands • Highest Degree PhD in Mathematics • Lives in Enschede, The Netherlands • Occupation Assistant Professor

I always liked solving puzzles when I was younger. My dad even made me eat my bread in puzzle-fashion: he cut it into 4×3 squares, and I had to eat them with chess knight’s jumps, and make sure I did not get ‘stuck’ while eating my entire slice of bread. In high school, however, I liked many subjects, so the choice for mathematics was not obvious at all. I thought about studying biology, physics or maybe something more related to medical sciences. But in the end, I chose mathematics, as I thought this would leave my options open later on.

(…) I am now investigating the mathematics behind spreading processes on networks. These have very important applications in the spreading of epidemics, but are also applicable to viral messages on social media.

Even though my choice for mathematics was rather random, it turned out to suit me very well. I really enjoyed solving exercises, and I also appreciated the fact that the same piece of mathematics can often be applied in so many different contexts. For example, I am now investigating the mathematics behind spreading processes on networks. These have very important applications in the spreading of epidemics, but are also applicable to viral messages on social media.

Because I liked my studies so much, I decided to stay at the university. I first did 4 years of PhD research. During my PhD research, I found doing research a bit lonely, which made me doubt whether I would like to continue on this path. So after those four years, I still did not really know whether I would keep on working at a university, or whether I would go and work for a company instead. But when I got offered a job at Twente University as a researcher, I decided to take it, and see whether I would like it. And I am happy to say that now that I do not have to do my own PhD research, I can make my work more collaborative, which I enjoy very much.

I really enjoy sharing my passion for mathematics with others who maybe never got to see mathematics as useful or beautiful

What I like about my job is that it is very versatile. I can do research, which is basically like solving my own puzzles. On other days I teach more, and have interaction with students, which is also very motivating. Besides that, I participate in a lot of outreach activities. That means that I go to high schools and primary schools to talk about mathematics, but also to theaters, science festivals and podcasts. I really enjoy sharing my passion for mathematics with others who maybe never got to see mathematics as useful or beautiful. In high school I never knew that there was so much more to mathematics than quadratic equations, so I like to share that with as many people as possible!

For example, I wrote blogs about how mathematics helps to predict who will win the soccer world championship, but also about using mathematical graph theory to find the most influential musician. I think that depending on your specific interests and hobbies, there is always an application of mathematics that will appeal to you! So in my outreach activities, I always try to think about what the specific audience could find interesting, and then I will show them an application of mathematics that involves this. The great thing about mathematics is that it is so broad that it is always possible to do so. Of course, this involves a lot of work from my side, but I keep on learning from this as well, and it is very rewarding.

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Gabriela Capo Rangel

Gabriela Capo Rangel

Born in Pitesti, Romania • Studied Applied Mathematics at Politehnic University of Bucharest • Erasmus MUNDUS fellow in Mathematical Modeling from University of L’Aquila, University of Nice and University of Hamburg • PhD in Applied Mathematics in the Basque Center for Applied Mathematics, Bilbao, Spain • Lives in Okinawa, Japan Works as a Postdoctoral Scholar in Computational Neuroscience at Okinawa Institute of Science and Technology (OIST)

My love for math started very early on. Since I was very young, I seemed to always have an analytical mindset and I adored solving puzzles. I was always the geeky kid, that was always curious about everything and I have always been a very solution-oriented person. My parents tell me I was determined to be a researcher from the age of 5, although I am not certain I actually understood what that meant. I used to love all analytical subjects, not only math, but also chemistry and physics. In fact, choosing my career path came extremely close between mathematics and chemistry. Somehow, I always missed chemistry, this is the reason why I went towards neuroscience and every now and then I get the chance to model some biochemistry.

I grew up in a freshly post-communist Romania, where the old generation generally believed that girls should study law or biology just due to the common misconception that girls can memorize better than boys.

Being a woman and choosing to study mathematics, I had to always fight for what I wanted. I grew up in a freshly post-communist Romania, where the old generation generally believed that girls should study law or biology just due to the common misconception that girls can memorize better than boys. Well, my memory has never been very good. I was lucky, because I had an amazing family that supported me in making my own choices and encouraged me to follow my own path.

[My high school professor] was the first person who showed me how to think outside the box, he sparked my curiosity for higher-level math and he treated me as equal to the other boys when preparing for competitions.

My first role model was a young professor in high school. He was my math professor only for the first year of high school and he directed me towards mathematics contests and math olympiads. He was the first person who showed me how to think outside the box, he sparked my curiosity for higher-level math and he treated me as equal to the other boys when preparing for competitions. In most of the contests that I have been, I was even the only girl or between the very few ones. The same trend continued at the university, where I went on and studied Applied Mathematics in Engineering. I studied in an engineering university, with under 10-20% of the total number of students being women.

After I graduated from university, I got an Erasmus MUNDUS fellowship for a Master of two years in Applied Mathematics, a highly competitive master program between three different countries: Italy, France and Germany. I got to experience the educational systems of the three different places, I had the chance to live in all these different places and learn the languages. Even in this international setting, I was still living in a world of men, having very few female colleagues and absolutely no female math professors in any of the three countries.

After graduating with the Master, I was awarded a Severo Ochoa Fellowship at the Basque Center for Applied Mathematics to pursue my PhD in Applied Mathematics in Biosciences. Particularly, I was modeling the interaction between the electrophysiology, the metabolism and the hemodynamics in the human brain. This captivating research gave me the chance to study not only the mechanisms behind the normal functioning of the human brain during resting state or neuronal activation, but also during various pathologies such as brain ischemia and cortical spreading depression. We focused on understanding the strong interconnection between how the electrical signals are transmitted in the brain, the interaction between multiple biochemical species constituting the brain metabolism and the blood flow.

[During my PhD] I met my biggest role model, my PhD advisor, Prof. Daniela Calvetti. She is all I ever dreamed of becoming: extremely intelligent, successful, determined, strong, loving and caring and the best mentor I have ever encountered.

It was then when I met my biggest role model, my PhD advisor, Prof. Daniela Calvetti. She is all I ever dreamed of becoming: extremely intelligent, successful, determined, strong, loving and caring and the best mentor I have ever encountered. She inspired me to gain not only knowledge and passion in my research field, but she inspired me to fight and pursue my dreams, no matter how much work that involves. There are no words to describe the depth of my gratitude, respect and love for her. I can only hope that one day I will inspire somebody, the way she inspired me.

After my PhD, I did a brief postdoc in Bilbao, after which I came to Japan to work as a postdoc at OIST. Here, I belong to the Computational Neuroscience group and my research concerns the cerebellum, the part of the brain that controls fine movement. I study the Purkinje neuron dendritic trees and I seek to understand how their morphology affects the spiking properties of these neuronal cells.

I just hope one day I will have the chance to teach and to provide my students not only with the scientific knowledge, but also with the courage and confidence to follow their own dreams.

The academic path is extremely hard to follow. I always feel like I am lacking stability. So far every few years, I have been changing between jobs, countries, friends and languages. Many times I dream about family life, stability and job security. I wanted to give up academia countless times, but I was lucky and I met people who inspired me to go on. I just hope one day I will have the chance to teach and to provide my students not only with the scientific knowledge, but also with the courage and confidence to follow their own dreams.

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Evelyn Cueva

Evelyn Cueva

Born in Quito, Ecuador • Birth year 1990 • Studied Mathematical Engineering at Escuela Politécnica Nacional in Ecuador • Highest Degree Ph.D. in Mathematical Modelling at Universidad de Chile • Lives in Quito, Ecuador

As a child, I did not dream of being a mathematician or a scientist; there was a total absence of that role model in my environment. My parents worked very hard so that my brothers and I could attend university. We would be the first generation to obtain a Bachelor’s degree. Living in the countryside and being surrounded by animals shaped me to study agronomy or veterinary medicine. However, my ability in mathematics motivated me to explore a career more related to numbers and abstract thinking.

Since I was a primary school kid, I have enjoyed math homework. I liked to think and invent my own problems. In high school, I was more interested in verbal math problems. I liked the process of “translating” these problems into equations. Despite my taste for mathematics, it was not until my last year of high school that I discovered a career opportunity in mathematics while reading the academic offer of a university. I did not know anyone who studied that subject or that there were jobs for mathematicians. My naive idea was that surely a mathematician knows everything about mathematics, and that caught my attention. One of the first options I considered was studying math to be a good math teacher. During my last year of high school I liked teaching math to my classmates. I was motivated by the idea of transmitting knowledge and helping others to look at problems more naturally.

Everything made sense and brought me back to what I enjoyed as a child: real-life problems translated into equations.

Once I enrolled in university, studying mathematics to be a teacher no longer seemed like a good idea. I realized that high school teachers study pedagogy and that was far from my personal interests. After exploring other options within the same university, I hesitated between chemical engineering and mathematical engineering; both attracted me a lot. The chemistry degree had a high component of physics, and I did not like it enough to study it for so long. I decided to follow mathematical engineering, even with many doubts about its usefulness. It was a kind of blind confidence that I would enjoy it very much.

University was challenging; it was a world that I mostly traveled blindly. The most abstract courses were meaningless to me because although they were fascinating and beautiful on their own, I did not know how they could be used in work life. It was only at the end of my studies that everything became a little clearer. When I did my undergraduate thesis, I connected the theory that I had studied with the world of applications. I understood why we need to seek solutions, guarantee their existence, and analyze their regularity. Everything made sense and brought me back to what I enjoyed as a child: real-life problems translated into equations.

I always had a particular interest in photography, but discovering the physical and mathematical models behind acquisition, reconstruction, and post-processing was something I did not want to stop learning about.

I worked on my undergraduate thesis with Juan Carlos De los Reyes, whom I thank for introducing me to the world of images. I always had a particular interest in photography, but discovering the physical and mathematical models behind acquisition, reconstruction, and post-processing was something I did not want to stop learning about. Since I had just found my passion, I opted for a Ph.D. program to learn more about it. I leaned towards the area of inverse problems, and in particular the modeling and reconstruction of images related to biomedicine. I most enjoyed simulating and visualizing ideas after writing them down on paper. 

This Ph.D. brought me extraordinary experiences such as visiting new places, meeting collaborators from other countries, having an excellent scientific community, just to mention a few. However, there were also challenges along my way: living away from my family, adapting to a new culture, not speaking in my native language, and dealing with frustrations and insecurities when things did not go as expected.

I wish that more and more women feel empowered to study engineering or science and do not rule it out as an option based on stereotypes.

A year ago, I finished my Ph.D. in mathematical modeling in Chile. After some post-PhD experiences as a research associate at the academy in Ecuador, my native country, I will start a postdoc at Millennium Nucleus for Applied Control and Inverse Problems in Chile this month. Although I enjoy teaching, I am happy for this new position dedicated more exclusively to do research.

As a woman, I have been able to feel equal within my workgroups. I was always the only woman, but that has never made me feel less worth than any of my male peers. I wish that more and more women feel empowered to study engineering or science and do not rule it out as an option based on stereotypes. Fortunately, nowadays, we can meet more women, we can look at them as our role models, and we can be role models for the next generations.

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Ellese Cotterill

Ellese Cotterill

Born in Newcastle, Australia • Studied Advanced Mathematics at the University of New South Wales in Sydney, Australia • Highest Degree PhD in Computational Neuroscience from Cambridge University, UK • Lives in Sydney, Australia • Occupation Data Scientist

From as early as I can remember, I was always interested in maths and numbers. My grandad used to tell the story of me as a young child adding up the numbers on the back of buses on the way to pick up my sister from school. At school, maths was my favourite subject and something that I found came easily to me. When I finished high school, I really didn’t have any clear idea of what I wanted to do as a career, which made picking a university degree difficult. I wanted to do something where I felt like I was positively contributing to society, and a job in a medical field seemed like an obvious choice. For a while I considered medicinal chemistry, but being in a lab was never very appealing to me. In the end I decided to study something I knew I enjoyed, and so I enrolled in an advanced mathematics degree. My parents were quite confused why I didn’t choose a degree with a defined profession such as medicine or law, and questioned me about what kind of career I could have after studying mathematics. I didn’t have a good answer for that, but felt confident that if I did something I enjoyed, the career aspect of things would work itself out later.

(…) My grandmother was suffering from Alzheimer’s disease, so the possibility of making a contribution in that area by studying the brain was very appealing.

In my second year of undergraduate study I discovered the subject of biomathematics, which involves using quantitative methods to study the biological world. I found it really interesting, and ended up doing my honours project in the field, modelling molecular diffusion in cells. When I came to the end of my degree, however, there still wasn’t an obvious career path for mathematics graduates. Careers days were dominated by financial institutions, and I ended up accepting a position as a quantitative analyst at a large investment bank. It only took me a few months to realise this wasn’t the right path for me, and I started looking for other opportunities. I’d enjoyed the research aspect of my honours year, and so thought a PhD in a field like biomathematics could be a good option. There wasn’t much research happening in Australia in this area, but I read a lot coming out of UK universities such as Oxford and Cambridge. Coming from Australia, I’d never imagined that I would be able to get into such prestigious universities, but decided there was no harm in applying. At that time, my grandmother was suffering from Alzheimer’s disease, so the possibility of making a contribution in that area by studying the brain was very appealing. I managed to find a supervisor at Cambridge University working in the field of computational neuroscience, and was lucky enough to be accepted into a Wellcome Trust programme that would fund my PhD in that area.

I greatly enjoyed my time studying in Cambridge, and met a lot of interesting people. One thing I noticed was that although there were many talented female PhD students in the mathematics department, I met almost no female postdoctoral researchers. I believe the impermancy of contracts and often frequent relocation involved in the early stages of an academic career are aspects which turn women off pursuing academics, particularly those who want a family. These were certainly factors that influenced my decision not to continue in academia, and at the end of my PhD I instead looked for opportunities in industry back in Australia.

(…) Choosing to study mathematics has given me fundamental skills in logical reasoning and problem solving which can be applied across many industries and careers.

I spent a year working as a data scientist at a neurotechnology startup in Sydney, but found that the company’s small size meant that it was difficult to produce any meaningful insights with the limited amount of data available. I also realised that I was more interested in working on challenging and meaningful problems from a mathematical perspective, rather than their precise applications. These factors lead me to take a position outside neuroscience, at an aerial imagery company called Nearmap. I’ve been working there for over two years now, helping build models and systems for automatically detecting objects in aerial imagery. I’ve greatly enjoyed my time there, and have been lucky enough to work with a number of talented women within the artificial intelligence team.

If there’s any advice I would give young people choosing what to study, it would be to do what you enjoy and are passionate about, and don’t worry too much about a degree’s application to a career path. My job today isn’t something I would have imagined doing while at university, at which time the field of machine learning as it is today barely even existed. Technology advances so rapidly that it’s impossible to predict what the most exciting and important careers might be in the future. However, choosing to study mathematics has given me fundamental skills in logical reasoning and problem solving which can be applied across many industries and careers.

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Jamie Prezioso

Jamie Prezioso

Born in Warren, Ohio, United State Birth year 1989 Studied Applied Mathematics at Case Western Reserve University, Cleveland, Ohio, United States Lives in Washington, D.C. United States currently a Research Scientist

Growing up, I genuinely enjoyed math from an early age. I have fond memories of solving equations and homemade arithmetic flash cards with my grandfather. He consistently and lovingly encouraged me to pursue math. And so, I did.

I had an inclination that studying mathematics would open an array of opportunities, however, I had no tangible examples of this. Nevertheless, I was drawn to pursue math.

I happily studied and excelled in mathematics throughout middle and high school. When choosing a major in college, I did not even consider math. Having never seen or learned about modern-day mathematicians in school or media, I was unaware of this entire profession. Since I was also interested in medicine, I considered studying biology. I knew of clear academic and career paths in the medical field. Ultimately, my first year in college I was undecided. I had an inclination that studying mathematics would open an array of opportunities, however, I had no tangible examples of this. Nevertheless, I was drawn to pursue math. And so, I did.

I began to discover the ways you could use mathematics to solve problems I found interesting and important, like quantifying the effects of climate change or modeling predator-prey dynamics in fragile ecosystems. I graduated from Walsh University with a Bachelor’s of Science in Mathematics. When applying for graduate programs, I had every intention of obtaining a Master’s degree in a few years and leaving the program for industry. The thought of being in school for nearly all of my twenties seemed unbearable, if not impossible. I did not want to wait for my professional career, and in some sense my “adult” personal life, to begin. Still, I was excited to pursue math. And so, I did.

Through coursework and research, I found I was truly passionate about math. I developed strong quantitative modeling and coding skills. I even got to study areas of biology and medicine.

In the Fall of 2012, I began graduate school at Case Western Reserve University. I studied applied mathematics, taught Calculus to bright undergraduates and conducted research in mathematics and computational neuroscience. It was in graduate school where I grew both personally and professionally. I had many wonderful experiences with brilliant mathematicians from all over the world, many of whom I am still close with today. Through coursework and research, I found I was truly passionate about math. I developed strong quantitative modeling and coding skills. I even got to study areas of biology and medicine. I gained confidence in myself and a deeper understanding of mathematics. And so, I obtained a PhD in Applied Mathematics.

I use my background in mathematics to research machine learning (ML) and artificial intelligence (AI) models […]

Now, I am an Applied Mathematician. I am a Research Scientist at a consulting firm in the Washington, D.C. area. I use my background in mathematics to research machine learning (ML) and artificial intelligence (AI) models, focusing on interpretability and explainability. While AI/ML models have proven extremely useful on a variety of tasks, their inherent black-box nature and lack of interpretability limits their use in critical applications, like medicine or autonomous driving. Specifically, I research and develop neural networks, mathematical models which are typically highly over-parameterized but have exhibited superior performance on high dimensional data (e.g. images), trying to better understand how these models make predictions, assess their confidence and incorporate prior expert knowledge.

I feel very fortunate to have a career which aligns with my field of study and allows me to work on problems I am passionate and excited about. I hope that my story, and the stories of the other women here, highlight the vast number of exciting opportunities and careers in mathematics, the careers that I was unaware of for so long.

Posted by HMS in Stories
Dr Beate Ehrhardt

Dr Beate Ehrhardt

Born in Walsrode, Germany • Birth year 1987 • Studied Mathematics in Bremen, Germany • Highest Degree PhD in Mathematical Statistics • Lives in Bath, UK • Occupation Mathematical Innovation Research Associate at Institute for Mathematical Innovation, University of Bath

I am a 33-year-old applied mathematician and data analysis expert with a PhD in Mathematical Statistics from University College London. I hold a permanent, research-only position at the Institute for Mathematical Innovation (IMI) at the University of Bath. Before joining the IMI, I worked as a Senior Research Statistician at the global pharmaceutical company AstraZeneca. I have a 2-year-old daughter and am expecting my second child any day.

Growing up with two sisters and a brother, my father never told us there was a difference between boys and girls. Instead, he instilled in us an understanding that we can achieve what we want with hard work. As a result, whenever people tell me I cannot do something I take it as a challenge rather than a dead-end.

I love mathematics. I love learning. I love people. And I love science. But most of all I love when all of these four things come together. 

Ask for advice but know how to interpret it

Any kind of advice you receive from others says much more about them than about you. When I was deciding what to study after my A-levels, a teacher for advanced maths advised against “studying mathematics because it is too hard”. He was wrong. I loved every second of my undergraduate programme in mathematics. All of a sudden I was surrounded by like-minded people and could solve riddles day in and day out. Studying mathematics was the best choice for me. It was intense – and yes – it was hard work, but it was so rewarding. I learned to describe the world in equations, see the world in trends, identify patterns, and extract information from all the noise. I found a way to explain the world and found out I was really good at it! Looking back on it now, I understand that my teacher was not judging whether I would be good enough to study mathematics but rather was projecting his own experiences and difficulties studying maths. That is why I would suggest: Ask for advice but know how to interpret it.

I particularly enjoyed the statistics part of my undergraduate degree but wanted to understand further the maths behind it. So, I decided to pursue a PhD in mathematical statistics. Having been abroad to Cardiff, UK for an ERASMUS exchange during my undergraduate, I knew I wanted to be in an international environment surrounded by people from many different backgrounds and cultures for my PhD. When I heard about a PhD position at University College London on the mathematics of networks I was immediately intrigued. Before signing up, I met twice with my future supervisor, which was an incredibly good opportunity to get to know him and his team a little bit. I believe the PhD experience is strongly influenced by the research group you are joining and thus, I would very much recommend trying to find out about them as much as you can. In contrary to the common stereotype that a PhD in mathematics is lonely, I experienced quite the opposite. I joined a small research group of brilliant colleagues – some of whom I still call up nowadays to discuss research ideas, and I also was part of a cohort of PhD students that formed a support network for each other. There was always someone to discuss Maths with, or to join me for a pint when a break was needed.

(…) the very best you can do for you and your career is to discover what gets you out of bed in the morning with a smile

During my PhD, I discovered my talent for proving theorems, and there were multiple opportunities to do a Postdoc on related topics. However, being good at something does not always mean it is what you enjoy doing most. At UCL, I was fortunate to be exposed to many different types of research, which enabled me to understand that what really fascinates me are the insights one can draw from data and the corresponding impact rather than the actual tools used. So, after four years of carefully building a network and investing time and effort to build a strong foundation for a research career, I made (what felt like) a radical decision to leave academia and to join the research-end of industry where I can apply my knowledge to add insights to science with an immediate impact to the real world. Many colleagues and friends were shocked by my move including the research group I was part of, which made the decision even harder.      

Now, five years after finishing my PhD, I know it was undoubtedly the right move for me for two main reasons. First, the line between industry and academia is not as rigid as I thought. The move from a research-in-industry position back to academia is increasingly common, and the work I do now at the Institute for Mathematical Innovation is from a mathematical point-of-view very similar to my work at the pharmaceutical company. Second, and most importantly, the move enabled me to experience research in a very applied setting. Most of the work I have done post-PhD has involved engaging with multi-disciplinary teams working together towards an overarching goal. Each new project comes with its own data analytical challenges while at the same time allowing me to learn about research in a variety of disciplines. Whether it is tiny scissors that allow us to edit DNA (called Crispr Cas9) or contributing to our knowledge about the growth of black holes, the work is always fascinating. Everybody’s motivations are different and the very best you can do for you and your career is to discover what gets you out of bed in the morning with a smile.

Posted by HMS in Stories