Maximilian Fleissner


Theoretical Foundations of Artificial Intelligence at TUM

Technical University of Munich
Faculty of Informatics – I7
Boltzmannstr. 3
85748 Garching bei München

Maximilian obtained his Master’s degree in Mathematics at the Technical University of Munich, primarily focusing on statistics and machine learning. During his studies, he gained practical experience through internships in finance and risk management. Maximilian is interested in interpretable machine learning and the statistical foundations of learning. He is pursuing a PhD in the group of Prof. Debarghya Ghoshdastidar at TUM.

relAI Topics: Foundations, Interpretability