Curriculum Vitae

Download Complete CV

  • Full Professor, Physics and EE, EPFL, Switzerland, Since 2020
  • Professor UPMC and Researcher at Ecole Normale Superieure, Paris, 2013-2020
  • Member of the Institut Universitaire de France, 2015-2020
  • Holder of a Prairie Institute AI Chair, 2019-2020
  • Member and Fellow of the ELLIS society, Since 2019
  • Holder of the chair CFM-ENS on datascience, 2016-2020
  • Visiting Professor @ Duke University, Maths Dept., 2018
  • Visiting Scientist @ Simons Institute in Berkeley, 2016
  • Visiting Scientist @ Los Alamos National Labs, 2008
  • Maitre de Conference (Associate Professor) in ESPCI Paristech, 2004 - 2013

Interests

  • Statistical Physics
  • Machine learning
  • Statistics
  • Computer Science
  • Random Optimization
  • Signal Processing
  • Information theory
  • Inference on graphs
  • Computational optics

Education

  • Postdoc, 2004

    Roma, La Sapienza

  • PhD in Statistical Physics, 2002

    Orsay, Paris XI

  • MSc in Physics, 1999

    Orsay, Paris XI

Teaching

Current or recent classes

Computation Science

Lecture given in the international master Physics of Complex Systems on computational science

Fundamentals of inference and learning EE-411

EPFL set of lectures on the theory of statistics, inference, and machine learning.

Introduction to Machine Learning

An introductory pratical course by Florent Krzakala and Antoine Baker, Ecole Doctorale EDPIF 2019

ML & AI pour la physique et les physiciens

Cours Master 1, Université Paris Sorbonne 2019-2010

Mecanique quantique et théorie des groupes

Cours donné à l’EPFL à partir de 2022

Numerical Physics and Machine Learning

Lecture Master 2, Ecole Normale Superieure 2020-2021, ICFP

Statistical Physics For Optimization and Learning

A set of Lectures given at Duke in 2018 by Lenka Zdeborova and Florent Krzakala

Statistical Physics For Optimization and Learning

A set of Lectures given at EPFL in 2021 by Lenka Zdeborova and Florent Krzakala

The SPHINX group

Meet the team working in the Sphinx Group. Our interdisplinary research group embodies physicists, mathematicians, and computer scientists working together to solve problems ranging from statistics to signal processing and machine learning. Feel free to check the group github repo.

The SPHINX team acknowledge funding from:

fundings

Grad Students

Avatar

Davide Ghio

Phd student

Avatar

Luca Arnaboldi

Phd student

Avatar

Luca Pesce

Phd student

Postdocs

Avatar

Damien Barbier

Postdoc EPFL

Avatar

Ludovic Stephan

Postdoc EPFL

Avatar

Pierre Mergny

Postdoc EPFL

Industry co-advised Students

Avatar

Julien Launay

Phd student at LightOn inc

Former members…

… and where to find them

Drawing
Marylou Gabrié
Prof. @ Ecole Polytechnique
Drawing
Jean Barbier
Prof. @ ICTP Trieste
Drawing
Alaa Saade
Google Deepmind
Drawing
Sebastian Goldt
Prof. @ SISSA Trieste
Drawing
Christophe Schulke
Phillips research
Drawing
Bruno Loureiro
Researcher @ENS
Drawing
Pan Zhang
Prof. @ Chinese Acad. Sci.
Drawing
Laura Foini
CNRS research, Saclay
Drawing
Gabriele Sicuro
Prof. @ king's college, London
Drawing
Eric Trammel
Scientist @ Amazon
Drawing
Alia Abbara
Postdoc @ EPFL
Drawing
Antoine Maillard
Postdoc @ ETHZ
Drawing
Luca Saglietti
Prof. @ Bocconi, Milan
Drawing
Andre Manoel
Microsoft reserach
Drawing
Fra Caltagirone
SNIPS inc.
Drawing
Sun Yifan
Lecturer @ Renmin Univ.
Drawing
Maria Refinetti
G-Research, London
Drawing
Boshra Rajaei
Assoc. Prof. @ Sadjad Univ.
Drawing
Alejandro Lage
Prof. La Havana
Drawing
Cedric Gerbelot
Postdoc @NYU Courrant
Drawing
Antoine Baker
Postdoc @ENS
Drawing
Ruben Ohana
Postdoc @Simons NY
Drawing
Jonathan Dong
Postdoc @EPFL
Drawing
Angelique Dremeau
Assoc. Prof. @ ENSTA

Contact