Curriculum Vitae

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  • 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

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

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Cedric Gerbelot

Phd student (co-supervised with M. Lelarge, DI)

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Davide Ghio

Phd student

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Luca Pesce

Phd student

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Maria Refinetti

Phd student (co-supervised with G. Semerjian)

Postdocs

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Antoine Baker

Laplace Postdoc

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Bruno Loureiro

Postdoc EPFL

Industry co-advised Students

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Julien Launay

Phd student at LightOn inc

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Ruben Ohana

Phd Student at LightOn

Former members…

… and where to find them

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

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