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Academic Achievements
Will give talks and present posters at the Conference on Mathematics of Machine Learning 2025 at TU Hamburg-Harburg, the Conference on Mathematical and Scientific Machine Learning 2025 at the University of Naples, and is organizing a Mini-Symposium on Geometric Optimization Methods for Scientific Machine Learning at ENUMATH 2025 in Heidelberg.
Research Experience
Currently a PostDoc at the Institute of Mathematics at TU Berlin in the group of Benjamin Gess.
Education
PhD: International Max Planck Research School for Mathematics in the Sciences, supervised by Nihat Ay and Guido Montúfar; PostDoc: Junior Professorship for Mathematics of Machine Learning at RWTH Aachen University, held by Semih Çaycı.
Background
Research interests: 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.