Two speakers and one award at the 8th European Congress of Mathematics
Three Department members will be represented at this year's European Congress of Mathematics (8ECM): Peter Bühlmann as Plenary Speaker, Emmanuel Kowalski as Invited Speaker, and Joaquim Serra to be presented with an EMS Prize.
Peter Bühlmann plenary speaker
In his plenary talk "Statistical Learning: Causal-oriented and Robust", Peter Bühlmann will talk about reliable, robust and interpretable machine learning, a big emerging theme in data science and artificial intelligence.
Peter Bühlmann is Professor at the Seminar for Statistics, and Director of ETH Foundations of Data Science. He conducts research in the fields of high-dimensional and computational statistics, machine learning, causal inference and interdisciplinary applications in biology and medicine.
Emmanuel Kowalski invited speaker
Emmanuel Kowalski will talk about "Exponential sums over finite fields". Starting from the origin of such sums in the study of polynomial equations, he will show that these very simple mathematical objects are related to some of the deepest work in number theory and algebraic geometry.
Emmanuel Kowalski is Professor of Mathematics at the Department. His research domain is analytic number theory, taken in a very broad sense, with a focus on interactions with other areas of mathematics, and especially exponential sums over finite fields and with probabilistic ideas.
Joaquim Serra EMS Prize
Joaquim Serra will be presented with the European Mathematical Society’s EMS Prize and will also give a talk entiteld: "From branching singularities of minimal surfaces to non-smoothness points on an ice-water interface."
Joaquim Serra has been Assistant Professor at the Department since December 2020. In his research he examines partial differential equations. These mathematical equations describe many natural phenomena like waves, heat, electric and gravitational potentials, fluid dynamics and quantum mechanics.
Portrait of Joaquim Serra on ETH News
Using the power of drawing to discern order in nature