MathematicalModelling

Anastasia Molchanova

Anastasia Molchanova

Born in Siberia, Russia • Birth year 1989 Studied Mathematics at Novosibirsk State University in Novosibirsk, Russia • Highest Degree PhD (Candidate of Science) in Mathematics • Lives in Vienna, Austria • Occupation REWIRE Research Fellow (Postdoc) at the University of Vienna

My path in mathematics was both easy and challenging at the same time. Coming from the distant town of Oljokminsk in Yakutia (it is a north-eastern part of Siberia), with a population of less than 10,000 and no neighboring cities within a 500 km radius, I was fortunate to have a supportive family, teachers, and colleagues who guided me along the way.

(…) An unexpected phone call brought a life-changing invitation — an opportunity to attend a summer school 600 km away from my home (…)

My love story with mathematics began in primary school when a wise teacher recognized my hidden potential and offered me additional classes designed for the brightest students, even though I was not among them. Then, during middle school, my math teacher encouraged me and other talented students to participate in numerous math competitions, where we submitted our solutions by post. Thanks to this, at the age of twelve, an unexpected phone call brought a life-changing invitation — an opportunity to attend a summer school 600 km away from my home in the regional center, Yakutsk. The journey from Oljokminsk to Yakutsk is usually far from being easy. You need a plane ride, a 12-hour ship journey in the summer, or a more than 12-hour car ride during winter (once such a winter trip took me three days due to harsh weather conditions!). Nonetheless, my parents didn’t hesitate for an instant and supported me wholeheartedly.

(…) Mathematics was never a subject that came effortlessly to me; it constantly pushed me beyond my comfort zone

Arriving at the summer school, reality fell short of my grand expectations. I discovered that I was not the top student among my peers, and my vulnerabilities as a teenager made me an easy target for bullies. However, amidst these trials, a remarkable teacher from St. Petersburg entered my life, seeing a glimmer of potential within me. And so, I got invited to join another summer school in St. Petersburg. At that moment, my obsession with mathematics was ignited, and I knew without a doubt that I wanted to pursue a math program at the university.

In my research field, Applied Analysis and Modelling, I have been fortunate to collaborate with passionate individuals who foster a culture of friendship and support. And this unwavering support continues to inspire me, though I encountered numerous obstacles throughout my academic journey. Indeed, mathematics was never a subject that came effortlessly to me; it constantly pushed me beyond my comfort zone. While I excelled in my university studies, the research realm presented its own challenges during my PhD and postdoc. Thus, I have to admit that I often made “easy choices” to maintain a straightforward career path, which makes me sometimes wonder if I was truly choosing mathematics or was simply afraid of change.

(…) I believe that with our collective efforts, we can inspire a generation of aspiring mathematicians, cultivating a system that celebrates the brilliance and potential in every individual

Reflecting on my experiences, I have realized that my struggles lay not only within myself but also within the academic system. The unrelenting pressure to prove one’s worth affects your mental well-being. Receiving numerous rejections makes you question your abilities and leaves you feeling inadequate. Moreover, the “bottleneck” effect in academia — a surplus of opportunities for pursuing PhD and postdoc positions but limited permanent positions available — creates an atmosphere of uncertainty and instability in your life. And my hope here is that we, people in academia, can unite and strive for positive change to cultivate an academic environment that nurtures creativity, inclusivity, and fulfillment.

My journey through mathematics has taught me invaluable lessons in resilience, perseverance, and the power of a strong support network. I can proudly say that each challenge of my path has shaped me into the person and mathematician I am today. I maintain an unwavering optimism about the future of academia. And I believe that with our collective efforts, we can inspire a generation of aspiring mathematicians, cultivating a system that celebrates the brilliance and potential in every individual.

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Amanda Minter

Amanda Minter

Born in UK • Studied Mathematics at Lancaster University in Lancaster, UK • Highest Degree PhD in Infectious Disease Modelling • Lives in UK • Occupation Director of Equations of Disease C.I.C.

Growing up, universities were always a bit of a mystery to me, my parents didn’t go to university. But I was encouraged by my parents and schoolteachers that going to university would be the path for me. I thought that going to university and studying would help me change the world for the better. I enjoyed maths from a young age, it was a subject which came naturally to me. I found the lessons easy, but then at university, studying maths, I struggled.

Whether it was the format of lectures or the more abstract topics, the subject I loved didn’t come naturally anymore. I worried that I had reached my limit in my understanding of mathematics. After a few disappointing grades, I knew something would have to change if I was going to get a good degree. I had to do something different – I had to learn differently. 

I knew with enough time I could figure out most things – or know when it was taking me too long and I should ask for help!

I wasn’t used to having to put effort into learning maths, but now I would attend classes, then practice, read several books, find examples online, until I understood the concept. In those years at university, I learnt how to learn. And it paid off, not just at university, but further down the line as well.

I stayed at my university to do an MSc in Statistics. Although I loved group theory, I wanted to work on something more applied.  Following my MSc, I started a PhD in infectious disease modelling. Studying for a PhD was all about learning new things, and now I had learned how to learn. I knew with enough time I could figure out most things – or know when it was taking me too long and I should ask for help!

In universities I had been aware of being a first-generation university goer and of not having been to private school, and also of being White.

After my PhD, I stayed at university to do research applying mathematics to the problems of global health, but I found myself becoming disillusioned with academia. As a postdoctoral researcher I worked on some amazing mathematical problems and with some great scientists modelling infectious diseases. But I found myself reflecting on my place in global health research. In universities I had been aware of being a first-generation university goer and of not having been to private school, and also of being White. But I never really thought about what it meant to be White, British, and working in global health. 

My definition of success has changed a lot from starting at university and wanting to change the world with maths.

I was motivated to work in infectious disease modelling to use maths for good, but in my role as a postdoctoral researcher I felt I was not helping to support the decolonisation of global health. I decided to leave academia to set up the social enterprise I run now. I aim to create accessible training opportunities for learners in the Global South.

My definition of success has changed a lot from starting at university and wanting to change the world with maths. And to the aspiring mathematicians, the struggling ‘not a mathematicians’: know that the path to success is not linear, or even constant, but something which keeps changing the more you learn.

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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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