Michael Bronstein received his Ph.D. degree from the Technion–Israel Institute of Technology in 2007. He has held visiting appointments at Stanford University, MIT, Harvard University, and Tel Aviv University, and has also been affiliated with three Institutes for Advanced Study at Technical University of Munich as Rudolf Diesel Fellow (2017–2019), at Harvard as Radcliffe fellow (2017–2018), and at Princeton (2020). He is a professor at USI Faculty of Informatics and Institute for Computational Science, 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 is the recipient of multiple awards including five ERC grants, two Google Faculty Research Awards, Royal Society Wolfson Research Merit Award, and Dalle Molle Foundation Prize. He is a Fellow of the IEEE and the IAPR, ACM Distinguished Speaker, and World Economic Forum Young Scientist. In addition to his academic career, he is a serial entrepreneur and founder of multiple startup companies, including Novafora, Invision (acquired by Intel in 2012), Videocites, and Fabula AI (acquired by Twitter in 2019). He has previously served as Principal Engineer at Intel Perceptual Computing and was a key contributor to the RealSense 3D sensing technology.
Graph representation learning, Geometric deep learning, Computer vision, Geometry processing, Computer graphics