Moritz Probst

© Johannes König
  • Master’s Student

Moritz Probst is a Master’s student in Mathematics at the Technical University of Munich (TUM), focusing on probability theory, statistics, and the theoretical foundations of machine learning, particularly at their intersection. His research interests center on the theoretical properties of machine learning systems and the development of mathematical guarantees for their reliable application in high-stakes domains such as medicine and pharmaceutical research, with a focus on uncertainty quantification and model reliability. Alongside his studies, he is involved in research with the Theis Lab at the Institute of Computational Biology at Helmholtz Munich and conducts student research with the Chair of Mathematical Foundations of Artificial Intelligence at LMU Munich, led by Prof. Dr. Gitta Kutyniok. Previously, he gained industry experience through internships at Deloitte and UniCredit.