Michael Bronstein is a professor at Imperial College London, where he holds the Chair in Machine Learning and Pattern Recognition, and Head of Graph Learning Research at Twitter.
His main research expertise is in theoretical and computational methods for geometric data analysis, a field in which he has published extensively in the leading journals and conferences. He is credited as one of the pioneers of geometric deep learning, generalizing machine learning methods to graph-structured data.
Michael received his PhD from the Technion (Israel Institute of Technology) in 2007. He has held visiting appointments at Stanford, MIT, Harvard, and Tel Aviv University. During 2017-2018 he was a fellow at the Radcliffe Institute for Advanced Study at Harvard University. Since 2017, he is a Rudolf Diesel fellow at the Institute for Advanced Study, TU Munich.
Michael received four ERC grants, two Google Faculty awards, and is a Fellow of IEEE and IAPR, ACM Distinguished Speaker, and World Economic Forum Young Scientist. His industrial experience includes technological leadership in multiple startup companies, including Novafora, Invision (acquired by Intel in 2012) and Fabula AI (acquired by Twitter in 2019). He has previously served as Principal Engineer at Intel Perceptual Computing, where he was a key contributor to the development of the Intel RealSense 3D sensing technology.