Netherlands

Zoe Nieraeth (she/her)

Zoe Nieraeth (she/her)

Born in Maarssen, The Netherlands • Birth year 1992 • Studied Mathematical Sciences at Utrecht University, The Netherlands • Highest degree PhD from the Delft University of Technology, The Netherlands • Lives in Bilbao, Spain • Occupation Postdoctoral Researcher at BCAM

Many of my career choices were made within a context that differs from my cis peers: for one, I entered academia not knowing that I was a woman. Women, or rather those labeled as such, have to seek out their inspiration by themselves, first having to unlearn the twisted traditions of our patriarchy, whereas those labeled as men are told that the sky is the limit. I cannot say that I enjoyed that privilege, though. It only made me deeply ashamed about exploring my identity, wanting to avoid it at all costs.

What I wanted above all else was to feel normal, but having to deal with being a trans woman in math did not feel normal at all.

My first puberty was rough, and I coped with it by indulging this avoidant nature. Doing math kept me in a state of hyperfocus, and so, distracting myself from the bleak outlook the real world had offered me, I took a deep dive into the abstract realm of pure mathematics. I wanted to keep this flow going, and decided to pursue a PhD. However, eventually research took its toll on me. I struggled through my PhD and at a certain point I realized that I was incapable of upholding my facade, forcing me to resurface. What I wanted above all else was to feel normal, but having to deal with being a trans woman in math did not feel normal at all. It did not feel like an environment where people would know how to respect me. Even now as a postdoc I can count my trans contemporaries that are out on one hand.

In recent years, many of the institutes I have worked at have been trying to strive for gender equity. However, to be perfectly blunt, I feel like the way inclusion is handled in academia is laughable. What is claimed to be gender inclusivity has very little to do with being inclusive. While they are patting themselves on the back for having made a breakthrough in the discovery of a gender that is not male, I am weeping for my gender diverse siblings. Their gender inclusivity” is binary and tokenistic. The people in power are middle aged white men who have neither the experience, nor the will, nor the knowledge to deal with the kind of feminism that requires an understanding of intersecting identities. How can you claim to be inclusive if your institute isn’t fully accessible, isn’t accepting of relationship forms other than those fitting within heteronormativity, others neurodivergent people even when they are the ones that propel our field, perpetuates racist stereotypes, upholds a class system that the poor cannot enter, or makes you feel like some women will not even be considered to be women at all?

I have been made to feel that the new possibilities provided for women are not for me. Ironically, there is the fear that hiring a trans woman will not count towards the quota of women.

The discrimination I have faced after coming out in academia has been astounding. I have been made to feel that the new possibilities provided for women are not for me. Ironically, there is the fear that hiring a trans woman will not count towards the quota of women. Transphobia is the norm, after all. To add to this, there are journals, databases, former colleagues, refusing to even acknowledge something as simple as my name, preferring to perpetuate a lie. I have seen my savings and then some dwindle into nothingness as this capitalist nightmare sucks me dry for daring to transition into a life where I can look at myself in the mirror without feeling disdain. Or fearing retribution. Many countries where my job wants to take me are simply not safe for me to exist in. Academia truly offers me the worst of both worlds. 

Despite all of this, I have come to a point where I can proudly announce that I am a woman and a mathematician. The fact that I am a woman is an act of defiance. My existence is political. As we are striving for equity in mathematics, ironically, the work yet again falls on our shoulders. We are the ones who have to labor to be seen. Who have to fight to be heard. Who have to tell our stories. In prose such as this, but even in my mathematical research papers, I strive to write with a lot of character and personal opinion, expressing my authentic self. I feel like showing ourselves like this is what is truly important. No matter how we are treated, the simple fact of the matter remains: our diversity is beautiful. Projects like Her Maths Story allow us to take control back in a setting where we are made to feel like we have very little control, and for that reason I truly commend initiatives like this. While we undoubtedly will continue to face oppression, our resistance will grow stronger. Progress is inevitable.

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Fulya Kula

Fulya Kula

Born in Turkey • Studied Mathematics at Middle East Technical University in Ankara, TurkeyHighest degree PhD in Mathematics Didactics • Lives in Enschede, The NetherlandsOccupation Lecturer at the University of Twente

I actually did not really like mathematics in primary school. I found it difficult to memorize all multiplication tables for example, as I did not really understand the concept behind them. However, during high school, I had a great teacher, who could explain really well. She introduced us to theorems and proofs, and I found this challenging and rewarding.

What prior knowledge is necessary to fully understand the concept of the derivative? And what happens when some of that knowledge is missing?

After that, I did my BSc in mathematics, but I was also very intrigued by the way my professors were teaching, maybe because of my experience in primary school. All were very talented mathematicians, but some of them were not explaining very well, while others were. This motivated me to do my undergraduate and PhD level in the didactics of mathematics. In my PhD for example, I focused on the concept of the derivative. What prior knowledge is necessary to fully understand the concept of the derivative? And what happens when some of that knowledge is missing?

I am now still working in the field of mathematics and statistics didactics. I investigate how we can improve the teaching and learning of mathematical and statistical concepts. This combines my pedagogical skills and scholarly knowledge. I try to gain a better understanding into how people learn, and how this knowledge can improve teaching.

I find this project particularly exciting because it can make a real difference in students’ academic lives, as I often see them struggling in the first year during my teaching.

I am currently working to make the transition from high school math to college-level math easier for students. This means that students should have a better understanding of several mathematical concepts and skills when they are at university. To achieve this, I investigate best practices in curriculum development. I will also create videos and practice material on topics that many students are struggling with. I find this project particularly exciting because it can make a real difference in students’ academic lives, as I often see them struggling in the first year during my teaching.

During my research, I focus on how we can teach mathematics in such a way that students can understand it more easily. I had very interesting results on teaching statistical inference for example. In statistics, you often make probabilistic statements about an entire population while you only investigate at a small sample of it. This concept is often very difficult to grasp for students. Usually, during a course students are first told about the sample (for example the sample mean), and are then told what this sample statistic tells about the entire population. My research shows that it is actually better to start discussing the population first, and how you create a sample from this entire population. After that, you can teach what this then tells you about the entire population that we started with.

I would really like to investigate the most common statistics textbooks to compare their way of explaining to my proposed model. Doing so will help me to slowly but surely change the way statistics is taught.

My research endorsed that this second way of teaching makes students grasp statistical inference more easily. I would really like to investigate the most common statistics textbooks to compare their way of explaining to my proposed model. Doing so will help me to slowly but surely change the way statistics is taught.

My goal is to make sure that research in the didactics of mathematics is actually applied in mathematical teaching. Despite the fact that there is plenty of research that could be useful, the connection between research and practical teaching is weak. I would love to create a course on didactics for mathematics teachers at universities as well. I feel that most people at the university really like their teaching, and are also interested in my didactical research, but it is difficult and time-consuming for them to get a good overview of the existing knowledge. In such a course, we could go over this together, and discuss how we can implement it in practice. In this way, mathematics education research can really make an impact on the way mathematics is taught.

I really enjoy teaching and find it very motivating. My favorite moments are when a student has an “A-Ha” moment and gains a better understanding of a concept. This is also very rewarding for myself, as I managed to make an impact on the student by teaching them a topic that they did not fully understand. It also shows you the beauty of mathematics: if a student understands all single, small concepts, they can understand a much bigger problem.

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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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Shanti Venetiaan

Shanti Venetiaan

Born in Suriname Studied Mathematics at Leiden University, The Netherlands • Highest Degree PhD in Mathematics • Lives in Suriname • Occupation Professor at the Anton de Kom University, Suriname

I think that I have always been interested in mathematics. I was a curious child and I liked puzzling. I always requested puzzles for my birthday, like the Jigsaw ones. At school, mathematics was my favorite subject. Moreover, my father is also a mathematician. So by the time that I had to choose a course of study at university, it was very clear that it had to be mathematics.

I was not actively pursuing an academic career when I started university.

Given that Suriname was a former Dutch colony, it was very common for Surinamese students to study in the Netherlands. So it was almost a natural choice for me to go there as well. All my school mates went to the Technical University in Delft, but I decided to go to Leiden University: the same university where my father had studied. 

I was not actively pursuing an academic career when I started university. I do remember reading the leaflet that described all the steps leading to a PhD and beyond. At that moment, I realized that that was what I wanted for myself. After I did my final thesis in Leiden, my thesis advisor moved to the University of Amsterdam. He asked me whether I was interested in becoming his PhD student. Still, I was not sure what to do at that moment: I had been in the Netherlands for five years already and I was ready to go back home to Suriname. When I discussed this with my parents though, they persuaded me to stay and to take the opportunity, so I did. Now, I can say that I am very happy with my decision!

The academic life here mainly revolves around teaching, and there is no real research environment. But we are working hard to change this.

When I came back from the Netherlands after my PhD there was no mathematics department at the Anton de Kom university and I was hired in the School of Technology instead. The academic life here mainly revolves around teaching, and there is no real research environment. But we are working hard to change this. Our bachelor program in mathematics recently got accredited and we are trying to build a research culture. One of the main difficulties we are facing is the lack of expertise: I am the only person with a PhD in mathematics in the country. Suriname is a very small country with a population of around 500,000 people, so it is common to be the only one with a certain expertise. But it is a nice challenge, and I like it!

My advice to young students who enjoy mathematics is to follow your heart. If mathematics is where your heart is, then do it! It is a beautiful subject.

To overcome this lack of expertise, we are initiating more collaborations with foreign universities. For instance, the pandemic opened new possibilities for our students: they could now follow online lectures from universities all around the world. I hope that similar opportunities will continue after Covid-19 and that they will become official partnerships, as this will provide more opportunities to our students.

My advice to young students who enjoy mathematics is to follow your heart. If mathematics is where your heart is, then do it! It is a beautiful subject. If you like puzzling, it is very fulfilling. Furthermore, mathematics provides you with a training in abstract thinking that you can use anywhere!

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Thi Mui Pham

Thi Mui Pham

Born in Hanoi, Vietnam • Studied Mathematics at RWTH Aachen in Germany • Highest degree: Master of Science in Mathematics • Lives in Utrecht, The Netherlands • PhD candidate in infectious disease modelling at the Julius Center for Health Sciences and Primary Care in Utrecht (The Netherlands)

I was born in Vietnam, grew up in Germany, lived in the UK for about two years in total, and moved to the Netherlands for my PhD four years ago. Having lived in various countries, I always saw myself as a cultural hybrid – bridging the gap between different cultures and traditions. My PhD topic similarly connects two different but intersecting disciplines:  I develop mathematical models to tackle the spread of infectious diseases.

When you would have asked me what my future job would be when I was 10 years old, my answer would probably have been “a detective”. I loved solving puzzles and finding solutions to a problem. What I particularly enjoyed about maths was its simplicity: In its pure form, you only need your mind and maybe a pen and a paper.

I knew I wanted to continue to do research in something math-related, but I also realised that I wanted my work to have an impact in the real world.

After graduating high school, I decided to pursue a Maths degree at university. The reason was simple: I was eager to learn more about how to solve abstract problems through logical reasoning. Despite its reputation, you do not need to study maths as a lone wolf. A lot of my university time included working together with fellow students, discussing various solutions, and looking at a problem from different angles. Studying maths at university level was not always easy for me but I had a lot of fun, and I think that’s what counts in the end. When I was about to finish my degree, I felt a bit lost as I realised that I never really had a particular job or career in mind, and I had no real plan for my life. I knew I wanted to continue to do research in something math-related, but I also realised that I wanted my work to have an impact in the real world. However, I had no idea how exactly I could combine these two interests.   

By chance, I came across the 80,000 Hours non-profit organisation that tries to guide graduates towards a career that fits their personality but also “effectively tackles the world’s most pressing problems”. This gave me an impetus to contemplate more thoroughly my career choice and I started to do research on the applications of maths to address real-world problems. I quickly learned about the serious risks that infectious diseases pose to our world and how mathematical modelling can provide valuable insights into the field. Luckily, I was able to find a PhD position in infectious disease epidemiology in Utrecht. In hindsight, accepting this position was one of the best decisions in my life as I can genuinely say that I am very happy with my work, my research group, and in particular with my supervisors. They gave me just the right balance between guidance and freedom, and a positive environment to thrive.

Since the start of the COVID-19 pandemic, however, I am using my background to model the spread of SARS-CoV-2 in various settings, for example in hospitals or secondary schools.

When I started my PhD my main topic was to study the transmission dynamics of antibiotic-resistant bacteria in hospitals. Since the start of the COVID-19 pandemic, however, I am using my background to model the spread of SARS-CoV-2 in various settings, for example in hospitals or secondary schools. It has been a very challenging time as my workload has doubled but at the same time, I feel very grateful to have the opportunity to use my skills to ‘do good’ while truly enjoying my work.

The current COVID-19 pandemic demonstrates perfectly that mathematics does not necessarily have to be far from reality, and that it can be a powerful tool for solving real-world problems.

Infectious disease modelling is rather versatile: It requires translating biological problems into the language of mathematics, analytically investigating the research question using the developed model, and finally translating the results back to the real world to obtain implications for infection control policy. The current COVID-19 pandemic demonstrates perfectly that mathematics does not necessarily have to be far from reality, and that it can be a powerful tool for solving real-world problems. Maths used to be underrated and maybe even underappreciated but by showing people how mathematics can be used to stop the spread of infectious diseases, I hope we can spread a little bit more love for mathematics.

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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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Hanne Kekkonen

Hanne Kekkonen

Born in Helsinki, Finland • Birth year 1987 • Studied Mathematics at University of Helsinki in Finland • Highest Degree PhD in Mathematics • Lives in Delft, Netherlands • Occupation Assistant Professor

I was definitely not one of those scientists who showed exceptional talent from a very young age. As a child I was filled with endless curiosity about everything, but sitting still in front of a desk was not one of my strongest skills. In fact, I was rather bad at school, often arriving late because I had found a frog or wandered off after a hedgehog. I did my very best to study for exams but this did not seem to translate to good grades. I kept trying and by the time I started secondary school I finally got the hang of it. I was warned that when you move from secondary school to high school, and later from high school to university, classes become more difficult but I never really experienced this because I had always had to study for the exams. I had also learned that if I couldn’t solve a problem it just meant that I had to try harder, not that the problem was too hard. I only realised later how lucky I was to have learned proper studying techniques already as a kid.

I like knowing that mathematics has many applications but I have always been mostly interested in the theoretical parts and loved the pureness of mathematics.

I never had anything against mathematics (other than mental arithmetic which I’m still very bad at) but I only really got interested in it at high school. At high school maths problems are like puzzles you have to solve using given rules and tricks. In university the emphasis changed and the weight was more on understanding where those rules and tricks come from and why they are true. I like knowing that mathematics has many applications but I have always been mostly interested in the theoretical parts and loved the pureness of mathematics. It is the only field where questions have indisputably correct answers and where the trueness of a statement can properly be proved.

I have to admit that I didn’t really think too much about what I would do after I got my Master’s degree. Throughout my studies I was told that there was a shortage of skilled mathematicians at the job market but there seemed to be a big gap between what I had learned at the university and what was needed in the real world. Thankfully, my Master’s degree advisor suggested that I should apply for one of the open PhD positions in the Inverse Problems group at the University of Helsinki, where I was doing my Master’s degree.

Starting the PhD was the biggest shock in my studies. Even though the exercises at university were much longer and more complicated than the ones at high school, they always had a clear answer, even if I couldn’t find it. But when I started to do research, I had to get used to the idea that no one knew the answers to many problems I encountered or even if they could be solved. Also, instead of following well-structured courses, where I usually had at least some idea on what was going on, I was now attending several seminars about topics I had hardly even heard of. I was feeling really uncertain about my skills and progress. I was told by several more senior members of my research group that they also used to feel like that and it would get better, but this was only somewhat reassuring. I think the key point they forgot to make was that you won’t stop feeling uncertain because one day you learn to understand all those talks, but because you just get used to the idea that there are so many research topics that you can’t possibly understand them all. 

I really like showing people how mathematics is so much more than just the arithmetic they learned to hate at school.

During my PhD I was part of a great research group with supporting advisors and I really enjoyed working at the university. I decided quite early on that I wanted to stay in academia and so after I finished my PhD I moved to the UK for a postdoc position, first in Warwick and then in Cambridge. As a postdoc I had to learn to work even more independently than as a PhD student and how to combat the ever-present imposter syndrome. I also started to do some outreach, giving talks to the general public and school students. I really like showing people how mathematics is so much more than just the arithmetic they learned to hate at school. Nowadays I work as an assistant professor at Delft University of Technology. My current job is a nice blend of research and teaching, and it also offers me possibilities to do outreach. I’m happy if seeing a woman mathematician, who is excited about the subject, makes some little girl consider a science career as a real possibility.

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