thbuelles (at) gmail (dot) com
I'm a mathematician working on statistical learning and probabilistic methods in machine learning. Currently, I'm a research scientist at Pythia Labs where I help to build the future of therapeutic drug discovery using generative AI. In a previous life, I was a postdoc at Caltech where I worked with Prof. Graber on algebraic geometry and string theory compactified on CY2/CY3-manifolds. I did my PhD in mathematics at ETH Zürich with Prof. Pandharipande. Before that, I did my MSc and BSc in mathematics at the University of Bonn where I worked with Prof. Huybrechts on algebraic cycles and motives of K3 surfaces.
My research in mathematics is published in Journal of Algebraic Geometry, Forum of Mathematics, and Manuscripta Mathematica.
I was an instructor for mathematics from 2016 - 2023 at Caltech, ETH Zürich, and University of Bonn, teaching courses in Linear Algebra, Commutative Algebra, Group Theory, Representation Theory, Galois Theory, Algebraic Curves, and Algebraic Geometry.
Out of office, most likely riding my bike. Long days out on quiet mountain roads. Recently been taking my running more seriously. The Zürich Marathon '22 is a memory that will stay with me forever. Check Strava for all of my ups and downs through training, traveling, and adventures.