Clément Hongler

Clément Hongler is an Associate Professor in the Chair of Statistical Field Theory at the School of Basic Sciences, École Polytechnique Fédérale de Lausanne (EPFL). He leads research at the intersection of statistical mechanics, quantum field theory, and deep learning theory.

• Education: B.Sc. (2006), M.Sc. (2008) in Mathematics from EPFL, and Ph.D. (2010) in Mathematics from Université de Genève.
• Career: Ritt Assistant Professor at Columbia University (2010-2014), Tenure-Track Assistant Professor at EPFL (2014-2018), and Associate Professor at EPFL since 2019.

His research focuses on:

• Connections between lattice models and conformal field theories
• Dynamics of learning in neural networks
• Artificial life via continuous cellular automata
• Decentralized systems

He actively teaches courses such as Probabilistic models of modern AI and participates in EPFL's doctoral programs, including Mathematics and EDMA (Environmental Data Science and Engineering). His lab (CSFT) collaborates on interdisciplinary projects bridging theoretical physics and machine learning.