I have always loved mathematics. After participating in the “Cours Euler”, a 5-year program for mathematically gifted students in Switzerland, I enrolled in Mathematics at the Ecole Polytéchnique Féderale in Lausanne (EPFL). At EPFL, I was especially intrigued by Stochastic Calculus and Discrete Mathematics, and won several awards and prizes, including a prize at the EPFL Combinatorics competition held by Janos Pach.

In parallel to my studies of theoretical mathematics, I became interested in the applications of these theories, in particular for the study of real networks such as financial networks, neural networks, and social networks. In 2016, I co-authored “Data Entrepreneurs”, a book which examined the role of data science/machine learning in industrial applications in Switzerland and its potential socio-economic impacts.

Now, thanks to the support of the Zdenek and Michaela Bakala foundation, I will have the opportunity to pursue my interests at the intersection of mathematics and data science/network theory, and its application in society, at Oxford University, in the Mathematical and Computational Finance Master’s program. I plan to further investigate stochastic differential equations and data science and their applications to understand financial systems and behavioral sciences. This opportunity to further my graduate studies at Oxford would have been difficult without the Zdenek and Michaela Bakala foundation and I would like to express my deepest gratitude to the foundation for making it possible.