Michele Ceriotti
EPFL at 12 yrs
📍 Lausanne, Vaud, Switzerland
Michele Ceriotti is an Associate Professor at EPFL, where he leads the Laboratory for Computational Science and Modeling. His research focuses on developing methods at the intersection of machine learning, statistical mechanics, and atomistic simulations to predict the properties of complex materials. He holds a PhD from ETH Zurich.
He has received numerous awards for his work, including an ERC Starting Grant, and is a core developer of several open-source software packages, including i-PI and Chemiscope.
Read the full overview →Current Role
EPFL
Location
Lausanne, Vaud, Switzerland
Personality Overview
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Priorities
Topics Michele cares about
Atomistic Simulations
His core research involves simulating matter at the atomic scale to predict the properties of molecules and materials, a theme consistent across his entire career.
Machine Learning in Science
He is a leader in applying machine learning to solve problems in the physical sciences, building surrogate models of quantum mechanical calculations to accelerate discovery.
Career
Work history
EPFL
12 yrs
11-2013
Post-Doc (RS Newton Fellow, Merton College JRF)
University of Oxford
Ph.D
ETH, Swiss Federal Institute of Technology, Zurich
In the press
Media appearances
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Education
2001 - 2006
MS
University of Milan - Bicocca
Social presence
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