thbuelles (at) gmail (dot) com
I'm a mathematician working in industry, broadly interested in applied deep learning and GPU programming. I'm currently a research scientist at Pythia Labs, developing foundation models for protein design and therapeutic drug discovery.
Before that, I was a postdoc at Caltech where I worked with Prof. Graber at the intersection of algebraic geometry and string theory.
I received my PhD in mathematics from ETH Zürich where I worked with Prof. Pandharipande on problems in enumerative geometry and derived categories. 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 pure mathematics, primarily in algebraic geometry, is published in Journal of Algebraic Geometry, Forum of Mathematics, and Manuscripta Mathematica.
From 2016 to 2023, I served as a mathematics instructor, teaching courses and seminars at Caltech, ETH Zürich, and the University of Bonn (see here for a complete list).
These courses covered a range of topics, including 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.