Gábor Csányi is a Hungarian-born scientist at the University of Cambridge. He read mathematics in Cambridge as an undergraduate at St. John’s College and did his PhD work in physics at MIT. After postdoctoral research in the Cavendish Laboratory, he joined the faculty in the Department of Engineering at Cambridge. He won an F. W. Bessel award from the Alexander von Humboldt foundation.
His work is in the field of computational chemistry, and is focused on developing algorithms to predict the properties of materials and molecules from first principles. He pioneered the application of machine learning to molecular modeling which lead to enormous gains in the efficiency of molecular dynamics simulation.
Professional position
- Professor of Molecular Modelling, Department of Engineering, University of Cambridge
Subject groups
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Computer Sciences
Artificial intelligence, machine learning, vision
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Astronomy and Physics
Computational physics, Condensed matter incl softmatter, liquids, nano-materials
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Chemistry
Chemistry, theoretical
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Engineering and Materials Science
Materials science (incl materials engineering)
