Month: April 2021

Carolin Trouet

Carolin Trouet

Born in Trier, the oldest city of Germany Birth year 1966 Studied Business Mathematics at the University of Trier Highest degree Diploma in Business Mathematics Lives in Mainz, Germany Leading teams in Software Development and acting as Chief Agility Master in the Airline IT Industry

In primary school, I struggled with math. My mother put a lot of effort into making me understand the difference between “plus” and “minus”. We were the first kids in Germany familiarized with set theory, working with books but also with these small boxes with plastic shapes of squares, circles, and triangles in different colors. My fascination for math started with geometry, with divisibility rules that our primary school teacher encouraged us to identify by ourselves and with the first mathematical proofs. When I was at grammar school, our teacher in mathematics told my mother: “She will never study mathematics, she is too lazy.” He was right about the laziness. My nickname is sloth, as I love lying in my hammock reading books. But I was fascinated by the ability of mathematicians to transform one problem into an equivalent one we can (easily) solve. The University in my hometown organized an open day and I attended some lectures. That’s when I decided to study math. It was a lecture about infinity and one on how to describe oscillations. This convinced me finally. When I was at university, our professors told us: “Later in your job most of you will never deal with mathematical problems like at University.”

Contrary to my professors’ prediction, I was one of the rare species among my fellow students who applied what we learnt at University.

My professor in numerical mathematics gave me the opportunity to work in a research project on optimization in robotics. Moreover, I received the opportunity to present the project at the industry exhibition in Hanover. He gave me trust, which created self-confidence I never had before. He changed my life. At this exhibition, I met my later husband. As he was living in the Rhine-Main-Region, I skipped my plan to obtain a PhD at my University. Instead, I searched for a job. This is how I started working in a very fascinating industry, the airline IT, as a software engineer in the area of flight optimization. Dijkstra for many years was and still is the algorithm of choice for solving shortest paths problems. At least it is a good basis. It is no longer sufficient due to many influencing factors such as regulations of air traffic flow. Cost optimality means reduction of fuel consumption, but also of overflight costs that are very hard to model. Contrary to my professors’ prediction, I was one of the rare species among my fellow students who applied what we learnt at University. Of course, not all problems in our industry are of this complex nature. However, developing algorithms and implementing software was complicated enough to keep me enthralled. So finally, both were wrong, my math teacher who said I would never study mathematics and the professors. Or did I want to prove them wrong?

It is a welcome change in a captivating profession of forming high performing teams, of dealing with trust-building and the soft facts of human interaction.

After 7 years, I decided to do something completely different. With my knowledge about software production, I joined a small team, the staff in the strategy department of our company. I gained insight into many different departments, sales, production, evaluation of acquisitions and business plans. Finally, I realized software production fascinates me most. So I returned, working in the role of a project manager for a completely new product development. Growing more and more into the leadership role, I was responsible for forming teams to build and operate many of our software products, applications managing the schedule preparation and operation of our airline customers worldwide. After 20 years, I returned to my roots, flight optimization. Developing algorithms for trajectory optimization is not my occupation any longer. Today, I am acting as a sponsor for our projects with the Zuse Institute in Berlin. It is a welcome change in a captivating profession of forming high performing teams, of dealing with trust-building and the soft facts of human interaction. I feel privileged, working in an international environment with diverse teams. Enhancing my knowledge by newest research in neuroscience and systems thinking is combining my private interest and profession.

The combination of rationality and empathy is not only possible; it is the theme of my story.

My favorite shape is the circle. Or is it more an upward spiral? Trust creates self-confidence. This is what I learnt in the research project at University and from my professor and my husband, who encouraged me very much in my professional development. Feedback and reflection create learning and improvement. The most amazing teams I know learnt from their mistakes and never stopped deriving actions to improve. Fearlessness creates the willingness to take responsibility. This describes very well the environment in which I could and still will grow from one role to the next. I had and still have colleagues and superiors I can talk to very openly, speaking my mind. I am not “punished” but supported in case things go wrong. As a mathematician, I have shown my ability to solve complex problems, as a leader I need to support teams to grow in a changing world. I love the following quote from Virginia Satir very much: “We get together on the basis of our similarities; we grow on the basis of our differences”. The combination of rationality and empathy is not only possible; it is the theme of my story.

Posted by HMS in Stories
Jamie Prezioso

Jamie Prezioso

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

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

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

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

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

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

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

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

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

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

Posted by HMS in Stories
Dr Beate Ehrhardt

Dr Beate Ehrhardt

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

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

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

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

Ask for advice but know how to interpret it

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

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

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

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

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

Posted by HMS in Stories