I am a PostDoc at the Institute of Mathematics at TU Berlin in the group of Benjamin Gess. My research interests lie at the intersection of machine learning and applied mathematics, with a particular focus on the geometric structures appearing in reinforcement learning and scientific machine learning.

Prior, I was a PostDoc at the Junior Professorship for Mathematics of Machine Learning, RWTH Aachen University held by Semih Çaycı and a PhD student at the International Max Planck Research School Mathematics in the Sciences in Leipzig where I was jointly supervised by Nihat Ay and Guido Montúfar.

News and upcoming events

• On the April 30, I will give a talk at the Workshop on Structured Learning: Constraints and Geometry in Reinforcement Learning and Scientific Machine Learning at University of Freiburg
• On June 3rd, I will speak at the Minisymposium Implicit Bias in Neural Network Optimization at SIAM Conference on Optimization (OP26) in Edinburgh
• Together with Martin Holler, Erion Morina, and Konstantin Riedl, I am organizing a Mini-Workshop on Scientific Machine Learning at SIAM Conference on Optimization (OP26) in Edinburgh.
• Together with Siddhartha Mishra and Marius Zeinhofer, I am organizing a Mini-Workshop on Geometric Methods in Scientific Machine Learning from August 3rd-7th at Mathematische Forschungsinstitut Oberwolfach.