For more details on publications, check out the 'publications' section on his personal website.
Research Experience
Was a postdoctoral student at the IdePHICS lab at EPFL, working on statistical physics approaches to Machine Learning theory. During his PhD, he worked at Inria's DYOGENE team, focusing on inference problems in sparse random graphs.
Education
PhD: Inria, DYOGENE team, supervised by Laurent Massoulié; Postdoc: IdePHICS lab at EPFL, supervised by Florent Krzakala.
Background
Research interests: rigorous study of statistical-physics inspired methods, from belief propagation to replica equations, for both statistical inference and Machine Learning. Professional field: Statistics, Machine Learning theory. Brief introduction: Currently an Assistant Professor at ENSAI, part of the CREST team.
Miscellany
Starting September 1st, 2024, he will take up a position as an Assistant Professor at ENSAI.