Pioneering Computational Materials Scientist and Machine Learning Expert
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École Polytechnique Fédérale de LausanneMichele Ceriotti has established himself as a leading figure in computational materials science and molecular dynamics simulation. After receiving his Ph.D. in Physics from ETH Zürich, he spent three years as a Junior Research Fellow at Merton College, Oxford, before joining EPFL in 2013 as a tenure-track assistant professor. Now serving as an Associate Professor at EPFL's Institute of Materials, he leads the Laboratory of Computational Science and Modeling, where he develops groundbreaking techniques for atomic-scale computer simulations. His research combines statistical mechanics, machine learning, and molecular dynamics to understand and predict material properties at the nanoscale. Ceriotti has made significant contributions to the field through the development of innovative simulation methods, including a quantum particle simulation technique that has been applied to study hydrogen at high pressures. He is a core developer of several open-source software packages, including i-PI and chemiscope, and serves as an associate editor of the Journal of Chemical Physics, a moderator for physics.chem-ph on arXiv, and an editorial board member of Physical Review Materials