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Michele Ceriotti received his Ph.D. in Physics from ETH Zürich and has spent years as a Junior Research Fellow at Merton College, Oxford. In 2013, he began leading the laboratory for Computational Science Modeling at the École Polytechnique Fédérale de Lausanne (EPFL), focusing on method development for atomistic materials modeling based on statistical mechanics and machine learning. He is a core developer of several open-source software packages including MetaTensor, IPI, and Chemiscope, and serves as an associate editor for the Journal of Chemical Physics. Ceriotti is also an editorial board member of Physical Review Materials and has held various roles in the atomistic modeling community including moderator of the physics.chem-ph section on arXiv. His current research encompasses atomistic computer simulations, statistical mechanics, machine learning, molecular dynamics, and the study of molecular materials and high-entropy materials. He has been recognized with multiple awards, including the Volker Heine Young Investigator Award and the ERC Starting Grant from the European Research Council.
Ecole Polytechnique Fédérale de Lausanne • Lausanne
Leads laboratory for Computational Science Modeling, focusing on atomistic materials modeling.
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