PhD

Sherli Koshy-Chenthittayil (she/her)

Sherli Koshy-Chenthittayil (she/her)

Born in Abu Dhabi, United Arab Emirates • Birth Year 1983Studied Mathematics at Mahatma Gandhi University in IndiaHighest degree PhD in Mathematics from Clemson University, USALives in Nevada, USAOccupation Data Analyst

I am an applied mathematician and educator with interests in mathematical biology and STEM education. I am also invested in increasing diversity in STEM, particularly, with respect to students with disabilities. As a third culture Malayalee Indian who was born and raised in the Middle East and moved to the States for my PhD, I have had the best of three worlds – India, the Middle East, and the States. In addition to my love for all things related to math, I love books (all kinds), movies, Shahrukh Khan (Hindi actor), K-dramas, and BTS (K-pop group).  My mathematics journey started in school, where I fell in love with the logic and grace of the subject. My other passion was teaching the subject I loved most. It came as no surprise to everyone who knew me that I would pursue a mathematics teaching career.

I moved to India for my bachelor’s degree in mathematics, a master’s degree in mathematics, and even a bachelor’s degree in mathematics education. The theme is clear: I love mathematics. During my degrees, the beauty of proofs, and the varied applications of math spoke to me. I then started my own tutoring center in India and as a tutor in both higher education and K-12, I designed group projects as well as mathematics trivia games to increase inquiry and class participation.

Dealing with accessibility and gender representation in my math classes turned me into an advocate for women and people with disabilities in the STEM fields.

I was born with limb-girdle muscular dystrophy and transitioned to a wheelchair in 2011. I then decided to move to the States for my PhD in applied mathematics. Dealing with accessibility and gender representation in my math classes turned me into an advocate for women and people with disabilities in the STEM fields. Working with like-minded colleagues has helped me realize the power of math in fighting social issues and in self-advocacy.

Leadership positions helped me navigate academia with confidence.

My journey after my PhD took me to Connecticut where I was a postdoctoral scholar. I used mathematical models to investigate biology and education related questions. I also was the President of the postdoctoral council. Leadership positions helped me navigate academia with confidence. Further nuances of the world of math were revealed to me during my postdoctoral tenure. I realized how mathematical models could be developed with constant input from my wet-lab colleagues.

I am looking forward to the discoveries of the versatility of mathematics.

I currently work as a Data Analyst with the Office of Institutional Effectiveness, Touro University Nevada. My job responsibilities include advising faculty, student and affiliate investigators on research design and analytical approaches to optimize research study quality and providing descriptive and inferential data analysis for a diversity of biomedical, institutional, and educational projects. I am looking forward to the discoveries of the versatility of mathematics.

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Nicola Richmond

Nicola Richmond

Born in UK • Studied Mathematics and Computer Science in Edinburgh, UK • Highest Degree PhD in Algebra and Algebraic Geometry • Lives in London, UK • Occupation VP of AI

As a child, I enjoyed solving logic puzzles and spent a lot of time teaching myself BASIC on a Commodore VIC-20 that my dad had given to my brother for Christmas – my brother wasn’t remotely interested in the computer – I was obsessed by it!

My love for the problem-solving aspects of mathematics was solidified at school. I was lucky to have amazing mathematics teachers who made my learning journey both interesting and enriching. After regularly getting decent marks in school tests, I realised that I also had an aptitude for the subject and specialised early on by taking double mathematics A’ Levels.

(…) The inherent precision and rigour in mathematics helps keep my wandering mind constrained!

I went on to study mathematics as an undergraduate at Edinburgh. While there, I gravitated to pure mathematics – I love the logical nature of abstract mathematics and how concepts and rules can be linked together to develop new ideas and prove theorems – the inherent precision and rigour in mathematics helps keep my wandering mind constrained! I intended to pursue an academic career in mathematics, but with permanent academic positions in short supply, I settled on IT as a sensible Plan B and stayed on at Edinburgh to take an MSc in computer science. After that, I headed to Leeds to study for a PhD in representation theory of finite-dimensional algebras; and this was the end of my pure mathematics adventure – a career involving computing beckoned!

Looking back, there were several junctions along the road where I could have taken a different direction. The first was leaving my IT consultancy role to join Unilever on a two year contract. This introduced me to the world of chemoinformatics which I could link to mathematics by considering molecules as graphs of atoms connected by bonds. When my contract at Unilever came to an end, and with no sign of the recruitment freeze lifting, I decided to go to Sheffield as a post-doctoral researcher to work on developing a (commercialised) approach to facilitate computer-aided drug design.

Just over a decade was in the computational chemistry department, developing methods to find small molecules with medicinal properties.

Following the post-doc, I spent 18 years at GSK. Just over a decade was in the computational chemistry department, developing methods to find small molecules with medicinal properties. I then made an internal move to focus on bringing novel data analytics methods into GSK. This GSK chapter exposed me initially to the world of deep learning and its application to computer vision, and then later to new drug modalities, like antibodies, when I was responsible for a portfolio of digital, data and analytics projects.

The final four-year leg of my GSK journey I spent in the newly-formed AI/ML organisation. There, I learned the virtues of good engineering best practice and agile development, which was excellent preparation for my current role as VP of AI at BenevolentAI. I was also put in charge of building and leading the GSK.ai Fellowship Programme, which ignited a passion for developing, mentoring and nurturing junior staff members.

While I no longer have the opportunity to indulge in pure mathematics, mathematics is omnipresent in what I do.

Now at BenevolentAI, I focus on the company AI strategy and our centre of functional excellence in AI. While I no longer have the opportunity to indulge in pure mathematics, mathematics is omnipresent in what I do. I spend a lot of time reading the AI literature, which really combines probability theory, statistics, linear algebra, calculus and optimisation, and thinking about how we can leverage AI to accelerate drug discovery.

Young students often struggle to visualise how the study of mathematics may translate into practice. Many believe they’ll end up being a banker, an accountant or a mathematics teacher (which are of course worthwhile professions). I never really planned my career-journey, I did what felt right at the time, and I would never have imagined that I’d end up using my skill-set to find life-changing medicines for patients. So here’s my advice: we’re living in challenging economic times, so be flexible and responsive – seek out and embrace new opportunities that play to your strengths; and most importantly, follow your passion for mathematics – it can take you anywhere!

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Juliet Nakakawa Nsumba

Juliet Nakakawa Nsumba

Born in Kayunga district, Uganda • Birth year 1986 • Studied Mathematics and Physics (B.Sc. with Education) at Makerere University in Kampala, Uganda • Highest Degree Ph.D. in Mathematics • Lives in Kampala, Uganda • Occupation Lecturer at Makerere University

Currently, I am a lecturer in the Department of Mathematics at Makerere University in Kampala, Uganda. It is so exciting that today I consider myself one of Uganda’s most successful women in mathematics. At my primary level, I used to struggle with mathematics but was always intrigued by the challenges it would cause me to think about. I finished my primary level with mathematics as my worst subject. My secondary education was a turnaround. I would struggle with math until one time we had a change of teacher and he gave the first test. I got a 20%, and in the second test a 40% and after that my performance drastically improved and my passion for the subject grew so that it became my best subject. My math teacher encouraged me a lot. I had to redefine my friends to have those with similar interests. I would discuss this with my peers irrespective of gender. The reading of mathematics became easier.

Regarding the negative image that mathematics was for men: I guess I refused to believe that. I saw it as a challenge that had to be solved.

After my O’ level, resources were scarce in that my parents couldn’t afford my education at the kind of schools with equipped laboratories to enable me to continue pursuing my math/science career. But they were so determined to see me excel. My mom would always encourage me not to lose hope. At that time, I belonged to a supported program of Compassion International. That is where my help came from at the moment. God used Compassion to fully provide my sponsorship throughout A’ level. Of my A ‘level subjects, mathematics still seemed easy and would still be my best. Of course, I had support from my teachers who always encouraged me. Regarding the negative image that mathematics was for men: I guess I refused to believe that. I saw it as a challenge that had to be solved. I spent most of my time with the boys. Thank God they were quite helpful. When they noted I wasn’t going away, they knew we had to work together. When I completed my Uganda advanced certificate, I was given a Bachelor of Science degree with education (mathematics, physics). To be honest, I had never dreamt of being a teacher. I wanted to do Telcom engineering. My grades couldn’t push me there. Today I am grateful that my passion and desire for mathematics never came to an end. I decided to do my best to get good grades during my Bachelor’s degree. This opened more doors for me.

(…) I decided on mathematical epidemiology. I have seen so much of its application with endemic diseases and the consistent outbreaks of new viral diseases, especially in my country.

Later I joined the African Institute for Mathematical Sciences, which provided a platform for me to see how I could use mathematics. I have always loved the application of mathematics. It is not surprising that when I decided to choose the direction for my career, I decided on mathematical epidemiology. I have seen so much of its application with endemic diseases and the consistent outbreaks of new viral diseases, especially in my country. After my Ph.D. which I completed in my home country, I felt equipped to be part of the solution to our health sector. Yes, I am still growing in my career and every day I notice my effort in changing the lives of my people and Africa as a whole.

The limited resources never stopped me from pursuing my dream – instead, I would utilize whatever opportunity I could get to excel.

Being a mathematician has changed my status; by this, I cannot consider myself poor or financially disadvantaged, I have gained respect even among my peers just because I chose mathematics up to the highest academic qualification. As a mentor on several forums, I have got a number of young people who look up to me as their role model, something I lacked as I pursued the mathematics journey. I have inspired many to pursue the subject and STEM fields. I am an advocate for girls in STEM, and sharing my story with those young people struggling and almost giving up on mathematics is my passion. Once in a while, I do outreach programmes where I get to visit schools so that I can encourage young people that they can achieve much more as others before them have achieved. The mathematics journey is always interesting, but only those who choose not to give up can succeed. The limited resources never stopped me from pursuing my dream – instead, I would utilize whatever opportunity I could get to excel. The change of attitude and not dwelling on negativity from those around me enabled me to excel.

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Sophie Huiberts

Sophie Huiberts

Born in The Netherlands • Studied Mathematics at the University of Utrecht • Highest Degree PhD in Mathematics • Lives in the USA • Occupation Postdoctoral Researcher

I definitely did not always want to be a mathematician when I was young. I had a great mathematics teacher in high school, who was very enthusiastic about it. Still, I thought that mathematics was a bit boring, as it did not touch upon any of the subjects that interested me as a teenager. However, I did like programming at that time, which I did as a hobby. At some point I found out that the algorithms I programmed also had inventors. For me, that was a real revelation, and being an ‘inventor of algorithms’ seemed like the best job in the world to me! These people were described as mathematicians and computer scientists, so this made it easy for me to choose my majors at university after high school: mathematics and computer science as a double bachelor program in Utrecht.

At some point I found out that the algorithms I programmed also had inventors. For me, that was a real revelation, and being an ‘inventor of algorithms’ seemed like the best job in the world to me!

In my master program I already chose for mathematics over computer science. I found the theoretical aspects of algorithms more interesting than implementing them in practice, on which the computer science degree put a heavy focus. I really liked my master graduation project, so when my thesis supervisor posted a vacancy for his first PhD student, I applied for this position, and that is how I got into research professionally.

These types of algorithms solve optimization problems that can for example create train schedules, allocate personnel to different tasks or design large sports competitions.

Funnily enough, my research now is still about algorithms, so that interest stuck with me. I now focus on a very particular type of algorithms: the ones used in linear programming and integer linear programming. These types of algorithms solve optimization problems that can for example create train schedules, allocate personnel to different tasks or design large sports competitions. In theory, these algorithms can take a very long time to run. Nevertheless, in practice these algorithms are extremely fast. I  investigate how this difference between theory and practice arises, and try to come up with theoretical models that better explain why these algorithms work so well in practice.

I am most proud of my recently published results on the so-called `diameter of random polytopes’. This was an open problem in my area for quite some time, and I solved it as part of a research team. But I am most proud of the fact that this was the first project where I was really in the lead as a scientist. During the beginning of your PhD, you usually rely on your supervisor for guidance, and they often give you problems to work on, broken up into manageable chunks. This was the first time that I really took the lead in a project, and I ended up being the one to give specific tasks to my coauthors to complete. This experience gave me a lot of confidence and made me certain that I would like to remain in academia.

Most postdocs I knew were often stressed by their uncertain and temporary positions. This was not something I wanted for myself.

Even after this positive experience, I was a bit doubtful about the postdoc phase. Most postdocs I knew were often stressed by their uncertain and temporary positions. This was not something I wanted for myself. I therefore decided to only apply to two positions that seemed great to me. If they both would not work out, I would leave academia. One of the positions was here as a Simons fellow at the University of Columbia. Someone I knew asked if they could nominate me for it, and of course I said yes. In the end, I even got offered both positions I applied for, so that made me more certain that I am welcome in the research environment. As a fellow, I have a three year position with a grant and not many obligations. This makes the postdoc experience much more pleasant.

To me, the best part about being a researcher in mathematics is the fact that I am sometimes the first person who finds the solution to a particular problem, the first person ever to know a particular fact. This is a very special experience, and I can be happy about it for weeks. I also really like the fact that I can sit in my office, and just think about a problem for a while without time pressure.

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Qiaoqiao Ding

Qiaoqiao Ding

Born in Linyi, China • Birth year 1989 • Studied Applied Mathematics at Shanghai Jiao Tong University in Shanghai, China • Highest Degree Doctor in Mathematics • Lives in Shanghai, China • Occupation Assistant Research Scientist

When I was a teenager, I didn’t know what maths studies would be like. But I always took every maths lesson seriously and finished all the maths homework quickly and correctly, which gave me a sense of achievement and satisfaction among peers. I was able to find regular patterns in numbers or common features, which I found very exciting. I was not a very confident girl, but maths gave me strength.

Therefore, I decided to study maths at the University. However, I did not feel like the smartest student and university mathematics was very different from high school. I felt a bit frustrated and didn’t know how to reduce or eliminate the gap. In the second year of university, computational mathematics appeared in my life, which can be regarded as the combination of maths and computer science. Using computer science to solve mathematical problems and translating computer programs into mathematics language are two main aspects. I was attracted by the variety of applications and began to pay more attention to this field in the following semesters. From my Master’s to my doctoral research, my major was always applied mathematics. I did not only choose it because of my interests but also due to the possibility to get into contact with different subjects. Even though I saw more and more women devote themselves to computer science and mathematics, I was still hesitant. Would I do as well as men, as I needed to spend more time with my family? Could I be successful in this field? Could I find my favorite job? I did my best to find the answers to these questions.

If I can solve a problem with mathematics and present the result with a computational method, I will feel very happy.

I encountered many difficulties during my PhD. My advisor is also a woman and she gave me a lot of good advice. She had published many excellent works in optimization and medical imaging and supported my own research immensely. After finishing my PhD, I applied for an academic job in Singapore and worked there for three years. During that time, my husband was working in the US. We had to conquer the difficulty of time and distance. In my opinion, family is a very important part of one’s whole life. Every researcher needs to balance work and life, especially women. In China, women play a more important role in the relationship between husband and wife, the education of children and the connection with friends and relatives. Two years ago, my husband decided to return to China and he found a position in Shanghai. Finding a job in the same city is a big problem for me. I received a lot of help and advice from my collaborators and friends.

Now, maths has become a part of my life. Everyday, I try to solve some problems using mathematics tools and try to deduce some theorem or lemma to interpret the methodology. If I can solve a problem with mathematics and present the result with a computational method, I will feel very happy. My husband works as an assistant professor of mathematics in a university and we can discuss many interesting topics together. I think I can say that maths is my job and my life.

If anyone meets any predicament, I would strongly recommend to struggle. Try it and you will find it worth it.

At this stage of my life, I know what I want, i.e., working on applied mathematics and realizing my ideas. In China, as a woman, I never felt deprived or discriminated against for working in the field of maths or programming at the university. In fact, the contrary is the case and most people I encounter admire that I work in maths and computer science. A common perception in Chinese society is that maths is the most difficult subject and only the smartest people work on the research of it. In China, in order to encourage woman mathematicians to work in academia, many policies about gender quota have been made. In many job applications, women will be preferred over a man applicant if they have the same research abilities.

I am satisfied about the path I took, and very happy I had the courage to choose maths. I used to be afraid that I would not do well. But I know I can do my best, even if I am not the best researcher. Many of the maths students I met went through the same process and most of them did not give up. I think that most of the students that choose maths will persevere in difficult situations. If anyone meets any predicament, I would strongly recommend to struggle. Try it and you will find it worth it.

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Lakshmi Chandrasekaran

Lakshmi Chandrasekaran

Born in India • Studied Applied Mathematics at New Jersey Institute of Technology in New Jersey, USA • Highest Degree PhD in Applied Mathematics • Lives in Chicago, USA • Occupation Science communicator and Digital marketer

Growing up in India in the 90s and early 2000s, becoming a software engineer was a rage! The country’s obsession with software engineering was second only to a lucrative career in medicine. Although I went through a similar grind and familial expectations, by the time I finished high school, my mind was fraught with a constant debate between pursuing the software engineering versus physical sciences route such as math or physics – two of my favorite subjects in school. However, not being proficient at writing software codes it was easy to narrow down my choice. Experiencing calculus, vectors and 3D geometry in high school had piqued my interest enough to pursue my Bachelor’s in pure mathematics.

While my passion and curiosity for math never waned all through college, I started to wonder about the practical applicability of math in daily life. To this end, I started researching for universities with an applied mathematics graduate program. My foray into research started as a PhD student at New Jersey Institute of Technology (NJIT) where scientists applied math models to explore diverse phenomena ranging from detecting underwater submarines to the complex workings of the human body. These studies exposed me to the repertoire of math and also led me to think why I was oblivious to it until then. Perhaps it was the lack of communication, which stifled a wider appreciation.

I learnt how to translate, synthesize and communicate complex math equations in a manner that the biologists could easily relate to.

After completing my PhD, I did a couple of postdoctoral fellowships, during which I had frequent interactions with our biologist collaborators. I learnt how to translate, synthesize and communicate complex math equations in a manner that the biologists could easily relate to. In a way, I felt this was my first taste of “science communication” that left me wanting for more; since it bothered me persistently that I was still communicating science among scientists. 

At this juncture, I got an opportunity to freelance as a science writer for an online English language newspaper based in Germany – ‘The Munich Eye, (TME). I took this up as a challenge to disseminate science to a wider audience. A few years into this experience made me realize that I was happier communicating science than doing the science myself. I decided to switch gears and pursue a career in science communication. To shore up my science communication skill sets, I pursued a Master’s degree in science journalism at Northwestern University. I have never looked back since then and consider it to be one of my best career decisions.

Something that I encountered quite frequently as a science communicator was that scientists often struggled (or perhaps were reluctant) to be good marketers of their own work.

As a science writer, I freelanced for several popular science online and print outlets, communicating in lay a wide gamut of technical topics from climate change to science policy. I found that my technical expertise and research experience always came in handy when sifting through scientific work and translating them into easy-to-digest summaries. Until recently, I worked at a non-profit organization, communicating dementia science to a diverse set of stakeholders including the general public and donors. 

Something that I encountered quite frequently as a science communicator was that scientists often struggled (or perhaps were reluctant) to be good marketers of their own work. Understandably, part of this fear stems from the philosophy of not wanting to brag about one’s own research findings. However, I found this to be an interesting challenge – how do you then make an obscure field such as STEM also appealing to a lay audience? To this end, I recently completed an online certificate course in digital marketing from Northwestern Kellogg School of Management. I now look forward to applying my digital marketing and communications skill sets to promoting better awareness of science and enhancing public engagement between researchers and the general public.

Although you may think as a PhD you are solely trained to specialize in a niche area, doctoral training provides several useful skill sets (…).

Does all of this mean my PhD degree is not being put to any use? Absolutely not! Although you may think as a PhD you are solely trained to specialize in a niche area, doctoral training provides several useful skill sets such as writing, researching, mentoring, managing projects etc. coupled with professional life hacks such as resilience and tenacity, among others. I find myself regularly applying these handy skill sets in any work setting. I believe my academic background has better prepared me to have a fulfilling career in science communication and marketing in several indirect ways, for which I am forever grateful.

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Nancy Reid

Nancy Reid

Born in Niagara Falls, Canada • Birth year 1952 Studied Statistics at the University of Waterloo in Waterloo, Canada • Highest Degree PhD in Statistics • Lives in Toronto, Canada • Occupation Professor, Department of Statistical Sciences, University of Toronto

As a professor my days are busy with teaching, research, and committee meetings. I enjoy all three, but my research time is special, as that’s when I get to do whatever interests me the most at the time, and there is always more to discover. Currently I’m working on some mathematical problems related to the theory of inference, and a colleague and I have been working with some astronomers to help analyse their data.

The research environment at Stanford was so exciting that I became completely hooked, and have made my entire career in academia.

I majored in mathematics as an undergraduate, but my plan was to specialize in computer science, as that was rumoured to be “the future” (in 1970). I did some programming, and realized I had no talent for that at all, but I really enjoyed the statistics courses. That was my first glimpse of using mathematical and statistical ideas for advances in science, medicine, health, social science, you name it!, and I found that fascinating. I was quite unsure about graduate work, so I went to the University of British Columbia for an MSc degree, and then I thought I would look for a ‘real job’. But that degree required a research thesis, and I got hooked on research. I had great advisors at UBC who steered me to Stanford for graduate work. Without their encouragement I’m sure I would not have had the courage to consider this. The research environment at Stanford was so exciting that I became completely hooked, and have made my entire career in academia.

So even if I was the only woman on seven hiring committees in a row, when I went to an international conference, or a small workshop,  I would go to women’s talks, introduce myself to women in groups, and seek out “my people”.

At many times in my career, I was often the only woman in the room and it was sometimes lonely. I got used to it, because there didn’t seem to be many options, but it’s not as nice as having more women in the room. Something that helped me was to make sure to seek out women when I had opportunities, for example at conferences. So even if I was the only woman on seven hiring committees in a row, when I went to an international conference, or a small workshop,  I would go to women’s talks, introduce myself to women in groups, and seek out “my people”. I made some great friends along the way. As I got older, and felt the situation was changing only very slowly, I became more outspoken about the lack of diversity.

The biggest shock to the system though was having children. I was already full professor and relatively old when my first (of two) daughters was born, and even with great support from my partner, and a well-established career, it was a challenge.

I was very fortunate to have very helpful mentors at every stage in my career, for which I am still grateful. I’ve tried to “pay it forward” by being encouraging to students and young faculty. While I never felt actively discriminated against at all, I did notice at some point fairly far along in my career that men were actually listening to me in meetings, and I was so surprised that I deduced this was rarely the case when I was younger. The biggest shock to the system though was having children. I was already full professor and relatively old when my first (of two) daughters was born, and even with great support from my partner, and a well-established career, it was a challenge. When younger colleagues starting families ask me for advice, I always say “Accept as much help as you are offered, and buy as much help as you can afford”.

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Pêdra Andrade

Pêdra Andrade

Born in Pedrinhas – Sergipe, Brazil • Birth year 1989 Studied BSc in Mathematics at the Federal University of Sergipe (UFS) in Aracaju, Brazil • Highest Degree PhD in Mathematics at Pontifical Catholic of Rio de Janeiro (PUC-Rio) • Lives in Lisbon, Portugal • Occupation Postdoctoral researcher at IST – University of Lisbon

I decided I wanted to be a math teacher when I was eleven years old. It’s funny to remember that at such a young age, I already knew what I wanted to do with my life. I always had one of my biggest inspirations at home, my mom was a high school teacher and she loves math. I also enjoyed studying math and its accuracy always enchanted me.

Another of my goals was to study math at the Federal University of Sergipe (UFS), the only public university in Sergipe. This was one of the first challenges that I had on this journey. I studied hard to get into university. Fortunately, I got into UFS.

At the beginning of College, everything was amazing, I was living the dream. Even though I had many difficulties with the adaptation process to the university, the new city, and also living far from home, I had the courage and perseverance to tackle each of them. I believe that dealing with our inner selves is one of the biggest challenges we face when studying mathematics. Staying motivated and confident is hard work. This field of science is very beautiful but at the same time very difficult. During this time, I had the pleasure to interact with great professors who inspired me to continue studying mathematics. I’ve always been delighted by the mathematical concepts and the arguments that we use to produce the  beautiful math demonstrations.

Staying motivated and confident is hard work. This field of science is very beautiful but at the same time very difficult.

At this point, I decided to get my Master’s degree in mathematics. At that time, I had no idea what being a researcher was like. Different from my Bachelor’s, I was the only woman in the class. I started to feel like I didn’t belong in that space. I no longer felt comfortable talking and exchanging ideas with my colleagues; it was impossible not to compare myself with the others and I tried to fit in.

Even though I had many difficulties, I got  my Master’s degree. I survived and thanks to my desire to never give up I started my Ph.D. in math at PUC – Rio. As I studied commutative algebra during my Master’s degree, my first thought was to continue studying this subject, but there was no specialist Professor at the time at PUC – Rio. Looking back, I think this was a good thing, as it opened up so many possibilities. Trying to find myself I attended a seminar that focused on partial differential equations (PDEs) with algebra ingredients. I always had this enchantment in studying subjects at the intersection of many fields. I was very glad to see these connections as an example of the magnitude of the study of PDEs and their applications.

Trying to find myself I attended a seminar that focused on partial differential equations (PDEs) with algebra ingredients. I always had this enchantment in studying subjects at the intersection of many fields.

During my doctorate I had the opportunity to attend many scientific events including gender initiatives, give presentations, and I also had the opportunity to study at the University of Central Florida as a Visiting Fellow. After completing my Ph.D., I visited the Centro de Investigación en Matemáticas (CIMAT) in Mexico and held a postdoctoral position at São Paulo University, São Carlos in Brazil. These experiences contributed significantly to my research career, because I learned so much mathematics, but also I got some independence and learned a little bit about how a researcher’s career works. I am extremely grateful for the many special people who supported me throughout this journey.

It is worth mentioning that one of the biggest difficulties I deal with during my journey is the feeling that I have to be strong all the time. I’m not supposed to make mistakes and I do have to know the answers to every question. Nevertheless, the challenges inspire me and arise my curiosity. This is the feeling that moves me to overcome the difficulties that appear to me as a mathematician, such as learning new PDE methods or gender issues. For me, the scientific and human exchange is one of the greatest gifts the profession has given me. 

My research area concerns the study of regularity theory, the existence and the uniqueness of the solutions to elliptic and parabolic equations. Currently, I am a postdoctoral researcher at Instituto Superior Técnico (IST) – University of Lisbon and I am very excited to write this new chapter of my career as a woman in science.

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Claudia Garetto

Claudia Garetto

Born in Asti, Italy Studies Mathematics at Torino University, Italy • Highest Degree PhD in Mathematics • Lives in London, UK • Occupation Reader in Mathematics at Queen Mary University of London

My love for Mathematics started at an early age. I remember one day in scuola media (middle school in Italy) when my maths teacher sketched the graph of a function on the blackboard. She was explaining linear motion and I was blown away. I saw how maths relates to real life and how beautiful it is to explain maths, which is often considered a difficult topic, to others. I just wanted to be like her: a mathematician solving equations and sketching graphs on a blackboard, and this is exactly what I do now. It has been extremely important for me to see women do the job I am doing now. In Italy it is quite common for girls to study mathematics at university and to have women maths teachers in school: growing up I never thought that maths was a “boy” subject. Later, when I moved to Austria for my PhD studies and then to the UK for my first permanent academic position, I realised how lucky I had been.

Equality, Diversity and Inclusion (EDI) activities are becoming more and more important (I am the EDI lead in my school), so I hope the gender gap will become smaller and smaller in the future but there is still a long way to go…

In both of these countries, women are a minority in STEM and it is unfortunately still common to have almost no women professors in many maths departments. Consequently, it is still a struggle to motivate the best women maths students to take the academic route. Equality, Diversity and Inclusion (EDI) activities are becoming more and more important (I am the EDI lead in my school), so I hope the gender gap will become smaller and smaller in the future but there is still a long way to go…

As an undergraduate at Torino University I loved Mathematical Analysis. I found the formalism of pure mathematics beautiful and reassuring and I got more and more attracted to the idea of proving my own theorem, of constructing my own mathematical theory. That’s how my original plan of becoming a maths secondary school teacher changed into becoming a researcher and to establish myself as an academic.

Every move has meant for me to grow as a mathematician but more importantly as a person. I have learnt to be resilient but also to be flexible, adaptable, and open-minded.

I apparently had a very straightforward career path: PhD, postdoc, permanent position. However, I changed countries twice. In 2002 I moved from Italy to Austria to conclude my PhD studies. After 8 years at Innsbruck University, I moved to Imperial College London as a Junior Research Fellow and in 2012 at Loughborough University as a Lecturer. I have recently moved to Queen Mary University of London where I am currently working on the analysis of hyperbolic equations and systems with multiplicities: an extremely fascinating area of mathematics. Every move has meant for me to grow as a mathematician but more importantly as a person. I have learnt to be resilient but also to be flexible, adaptable, and open-minded. These are in my opinion extremely important qualities in any social and work environment.

I often talk to girls of school age approaching the university world of mathematics. My only advice to them is to follow their passion. If you are passionate about maths nothing will stop you! It will not always be easy. Failure is normal but with your dedication and the support of the right people (colleagues, supervisor, mentor) you will overcome every obstacle.

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Laura Venieri

Laura Venieri

Born in Italy • Birth year 1989 Studied Mathematics at University of Bologna, Italy • Highest Degree PhD in Mathematics (University of Helsinki) • Lives in Helsinki, Finland • Occupation Quantitative Analyst

I have always liked maths, in school it felt easy for me and I loved solving problems. My mother, who used to be a maths teacher, contributed to making it fun for me since I was a kid, and never stopped reminding me how important and useful maths is. In high school my maths teacher always highlighted the more fascinating side of it, not giving us problems to solve following a given template but pushing us to search for a solution, with trial and error, and look for connections.

At university maths felt different, there was a whole new world to discover, and on one side it felt more difficult but on the other side it was also more motivating and rewarding.

When it was time to decide what to study at university I knew that I wanted to get a science or engineering degree, but I was unsure of what the job opportunities for a maths graduate would be, except teaching. In the end, I chose maths anyway, as it was the subject I liked the most. I followed my teacher’s encouragement, who assured me that many opportunities would arise.

At university maths felt different, there was a whole new world to discover, and on one side it felt more difficult but on the other side it was also more motivating and rewarding. During my master’s, I decided to do an exchange and wanted to visit Northern Europe, so I ended up in Helsinki. It was a very fun year, and I enjoyed both the studies and the life outside, as it was the first time for me living in another country and being in contact with people from different parts of the world.

I had some doubts about my skills, but my thesis supervisor was very supportive and encouraged me […]

Until the year in Helsinki, I hadn’t given too much thought to what I wanted to do after graduating: in a way maths was what I liked doing the most, and I started to think about pursuing a PhD. I had some doubts about my skills, but my thesis supervisor was very supportive and encouraged me to contact a professor in Helsinki, who then became my PhD advisor.

The years of PhD were both the most rewarding and challenging in my life so far: there were moments of discomfort when I thought I was not good enough for it and not as brilliant as the other researchers, and moments of deep satisfaction when I realised that I could instead contribute to maths. Now I would tell PhD students who feel discouraged that it is normal, and it helps to talk about it with colleagues and friends. I always felt supported by my advisor, who followed me along the way, helping me when I got stuck but also leaving me the freedom to choose the direction.

I never felt directly discriminated against in my studies or research for being a woman, although at times people showed surprise when they heard that I was doing a PhD in maths, and sometimes commented that I did not look like the stereotypical mathematician. At conferences the great majority of participants and speakers were men, but I met very talented and well-established women academics, who made me feel more like I could belong there too.

I wanted a more stable life than the usual academic career would mean, and Finland was where I wanted to live with my partner.

When finishing the PhD and considering what I wanted to do next, I started to have some doubts that a career in academia would suit me best. Moving to Helsinki had been on one side a life changing experience but it had also shown me the challenges of moving to a new country and starting from fresh, and I did not look forward to doing that again. I wanted a more stable life than the usual academic career would mean, and Finland was where I wanted to live with my partner. I still wanted a job that involved maths, and at a high enough level, but I also felt like I could move to a more applied field.

I had never considered working in finance before, but I got interested after meeting my future employer at a recruitment fair. Financial mathematics relies heavily on measure theory, which I had a solid background in, and uses tools from stochastic calculus, which I began to study when starting my new job, working as a quantitative analyst in a financial company. It was a big change, also a bit scary, but I have not regretted it. It has been three full and intense years, where I have also learned some coding, database design, and data manipulation. The work is more interactive than typically in academia, which I have enjoyed, and I still feel like I have a lot to learn. After all, I realised it was true what my high school teacher had told me: after studying maths there are so many different things you can end up doing, don’t be afraid to find out!

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Constanza Rojas-Molina

Constanza Rojas-Molina

Born in La Serena, Chile • Birth year 1983 Studied Mathematics at Universidad de La Serena in Chile and at Université Pierre et Marie Curie – Paris VI in France • Highest Degree PhD in Mathematical Physics from Université de Cergy-Pontoise, France • Lives in Paris, France • Occupation Lecturer at the CY Cergy Paris University

I was a late starter in maths. As a child, I was always curious and interested in many things, I was an avid reader and spent a considerable amount of time drawing. During highschool, I learnt about physics and chemistry and I was hooked on the quantum world. There, all the intuition was lost and the usual rules of physics didn’t apply anymore, it was fascinating, like Alice in Wonderland! But even then, maths was not among my main interests. I never made a connection with physics or chemistry. I knew it was something useful and necessary to know, but I always kept it at a reasonable distance. You would never see me solving maths exercises for fun. Why would I, when I had a pile of comics and books to read and stories to draw?

I discovered operator and spectral theory, functional analysis and the maths of quantum and statistical mechanics. And it was beautiful.

It was only when I entered university that my view of maths changed. University maths were something completely different. My hometown is a region of Chile known for its clear skies, suitable for observational astronomy. It’s where the first telescopes in Chile were built. So, since I didn’t have the resources to travel to the capital to study, studying physics at the local university seemed like a good fit. With all the innocence that the age of 17 could give me, I thought: if I’ll ever amount to anything, it shouldn’t matter where I start.

So, I decided to stay home and enroll in the local university physics program. The first two years of this program were in common with the maths program, and by studying physics I realized that maths was connected to many things and was very important. So important that at some point after two years I thought: I can’t continue this without having a good understanding of maths (I would have made a terrible physicist). During those two years, I found beauty in the clarity of maths. I got a first glimpse of the elegance of proofs and the usefulness of drawing the picture to go with it. I discovered operator and spectral theory, functional analysis and the maths of quantum and statistical mechanics. And it was beautiful. I was excited to be able to study physics problems from a rigorous and clear point of view.

I went to Paris, without knowing anyone, with no grant and no connections whatsoever.

So excited that I didn’t stop when I finished my undergraduate studies. I went to Paris, without knowing anyone, with no grant and no connections whatsoever. With all the courage that ignorance can give. Ignorance of the country, of the system, of how academia works. That ignorance and the support of my family made me brave enough to cross the ocean looking to satisfy my curiosity.

It’s been many years since that happened. I did my Master’s in Paris and then continued with a PhD in mathematical physics. I successfully applied to a Marie Curie Fellowship of the EU to do a postdoc in Munich. Then I did a postdoc in Bonn. Then I was a Junior Professor in Duesseldorf, I was a DFG (German Research Foundation) grant holder, I supervised students. I still do. Now I’m back to France as a lecturer. I’m also an illustrator and for the past years I’ve been focusing on mathematical communication.

This is my mathematical adventure (…). And I say adventure because this was clearly a detour, as I was supposed to become an illustrator. Now I’m both.

Looking back, I am aware now that I was a total outsider. I made my way through it and became part of the system, taking an unusual path and building my own alternative journey. Academia is tough, it’s elitist, it’s traditionalist, it’s conservative, it’s a lonely place and can lead to a lot of frustration when one does not entirely fit. It’s easy to get lost in the bad thoughts when there is no support for those that don’t follow a straight path. However, I’ve met some wonderful people along the way who helped me build my path, collaborators, and friends, and with them I’ve been able to experience the part of the job that is about connections. Connecting ideas, connecting with colleagues, connecting with students, connecting with people. That is the best side of this job, and I’m grateful for that. This is my mathematical adventure, it has ups and downs and cliffhangers and suspense, and some teary moments and some funny ones. And I say adventure because this was clearly a detour, as I was supposed to become an illustrator. Now I’m both.

I like to remember how my mathematical adventure started, because it helps me feel connected with my most essential motivations. My motivations weren’t to be a tenured professor, or a group leader, or get all the grants. My motivations were to discover and enjoy the act of discovering.

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Elena Tartaglia

Elena Tartaglia

Born in Melbourne, Australia • Studied Applied Mathematics at the University of Melbourne in Australia • Highest Degree Doctor of Philosophy in Mathematical Physics • Lives in Melbourne, Australia • Occupation Research Scientist

I discovered my love of maths in high school when we started learning algebra. I had never been particularly adept at arithmetic or memorising times tables, but algebra was fun. It was about learning logical rules and applying them, step by step, to solve a problem that seemed impossible from the outset. My maths career so far has taken me from applied maths to mathematical physics to statistics and data science. Though the technical areas have been different, the pattern of understanding fundamental rules to break down big problems has remained.

I followed my heart all the way to a PhD in mathematical physics where I discovered the beauty of diagrammatic algebras: equations made out of squiggly diagrams.

My decision to pursue a career in maths came during my second year of university. I had been studying engineering, which I believed to be a more stable career choice, but after a year and a half I couldn’t get excited about any of the engineering specialisations. My Mum encouraged me to follow my heart and study mathematics: study what you love and you’ll figure out the work later, she advised. I followed my heart all the way to a PhD in mathematical physics where I discovered the beauty of diagrammatic algebras: equations made out of squiggly diagrams.

After a two-year postdoc in Italy, I decided to make the switch from academia to follow a career in data science. I had avoided any statistics and probability in my university studies, because they were not topics I enjoyed in high school, but I soon learned how interesting randomness is and how useful it is for understanding the world. I was lucky enough to land a dream job at Data61, the data analytics unit of CSIRO, Australia’s national science agency. Since then I have been working on industry projects, solving applied problems in the areas of manufacturing, wildfires and public policy with statistics and machine learning. I love that even after this career change, I can still use my mathematical thinking to break problems down into their essential ingredients and solve them step by step.

Reflecting on my path from education to employment, I have learnt that careers don’t have to follow a clear and straight path.

Reflecting on my path from education to employment, I have learnt that careers don’t have to follow a clear and straight path. I have learnt that following your dreams can be a good option, but it isn’t the only one, and that trying out adjacent areas of work that are in-demand can lead to a fulfilling occupation. I have also learnt that an important output of your studies is the ability to teach yourself new skills, because flexibility is a valuable skill in the workforce – plus learning new skills keeps your work interesting.

Posted by HMS in Stories