Clément Hongler

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clement.hongler@epfl.ch +41 21 693 52 87 http://csft.epfl.ch

Citizenship: CH

Birth date: 30.11.1985

Phone

+41 79 884 69 57

EPFL SB MATH CSFT
MA C1 643 (Bâtiment MA)
Station 8
CH-1015 Lausanne

+41 21 693 52 87
+41 21 693 52 93
Office: MA C1 643
EPFL > SB > MATH > CSFT

Web site: Web site: https://csft.epfl.ch/

+41 21 693 52 87
EPFL > SB > SB-SMA > SMA-ENS

Web site: Web site: https://sma.epfl.ch/

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Administrative data

Mission

Most of our research is devoted to statistical mechanics, quantum field theory and deep learning theory.

Key projects include:
--The investigation of the connection between lattice models and conformal field theories.
--The dynamics of learning, in particular that of neural networks during training.
--Artificial life, in particular continuous cellular automata.
--Decentralized systems.

Biography

2006: B.Sc. Math, EPFL
2008: M.Sc. Math, EPFL
2010: Ph.D. Math, Université de Genève
2010-2014: Ritt Assistant Professor, Columbia University
2014-2018: Tenure-Track Assistant Professor, EPFL
2019-present: Associate Professor, EPFL

Teaching & PhD

Teaching

Mathematics

PhD Students

Bendjeddou Amire, Golikov Evgenii, Simsek Berfin,

Past EPFL PhD Students

Jacot-Guillarmod Arthur Ulysse , Park Sung Chul , Spadaro Francesco ,

Courses

Analysis III

To learn the basic tools of vector analysis and complex analysis.

Lattice models

Lattice models consist of (typically random) objects living on a periodic graph. We will study some models that are mathematically interesting and representative of physical phenomena seen in the real world.

Artificial Life

We will study the emergence of life-like phenomena, such as locomotion, resilience,, reproduction, and evolution in mathematical models, in particular in discrete and continuous cellular automata, developing techniques to analyze, connect and characterize life-like features in such systems.

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