Bronstein Michael

Michael Bronstein is a Professor & Chair in Machine Learning and Pattern Recognition at the Department of Computing, Imperial College London (2018–present). He previously held academic roles including Professor at the University of Lugano, Switzerland (2010–present, on leave since 2019), Visiting Associate Professor at Tel Aviv University (2015–2017), and Visiting Lecturer at Stanford University (2008–2009). His research focuses on geometric methods for data analysis, with applications in machine learning, computer vision, and social networks.

• PhD in Computer Science (2007), Technion – Israel Institute of Technology

His expertise spans geometric machine learning, deep learning on graphs, manifolds, and point clouds, 3D shape analysis, and geometry processing. His work bridges theoretical and computational approaches to solving problems in computer vision, pattern recognition, and 3D depth sensors.

• 2020 Royal Academy of Engineering Silver Medal
• 2018 Fellow, IEEE and IAPR
• 2016 ERC Consolidator Grant
• 2014 Young Scientist, World Economic Forum

He has led high-impact industrial projects, including the development of Intel RealSense 3D camera technology, and founded startups like Fabula AI (acquired by Twitter in 2019). His academic and entrepreneurial career includes over 150 publications, 30 patents, and leadership roles in both academia and industry.