Michael Bronstein is the DeepMind Professor of AI at the University of Oxford and Founding Scientific Director of AI at the Aithyra Institute in Vienna. Born in 1980, he is a British-Israeli computer scientist and entrepreneur who received his PhD from the Technion in 2007 after studying at the intersection of geometry and machine learning. He completed both his undergraduate and PhD degrees in computer science at the Technion – Israel Institute of Technology, under the guidance of renowned scientist Ron Kimmel.
Bronstein is mainly known for his pioneering research on geometric deep learning, a field in which he coined the term "geometric deep learning," generalizing neural networks to non-Euclidean data. His research encompasses a spectrum of applications ranging from machine learning, computer vision, and pattern recognition to geometry processing, computer graphics, and imaging. At Oxford, he develops geometric deep learning and generative models for molecular modeling and design.
Career History
- DeepMind Professor of Artificial Intelligence at the University of Oxford (2022–present)
- Head of Graph Learning Research at Twitter (2019–2023)
- Chair in Machine Learning and Pattern Recognition at Imperial College London (2018–2021)
- Principal Engineer at Intel (2012–2019) following the acquisition of his co-founded startup Invision in 2012, which became the foundation of Intel RealSense technology
- Professor at University of Lugano, Switzerland (2010–present), affiliated with the Institute of Computational Science and IDSIA
Bronstein is also a serial entrepreneur and founder of multiple successful companies including Invision (acquired by Intel in 2012), Videocites, and Fabula AI (acquired by Twitter in 2019). He is the recipient of the EPSRC Turing AI World Leading Research Fellowship, Royal Society Wolfson Research Merit Award, Royal Academy of Engineering Silver Medal, as well as multiple ERC grants, Google Faculty Research Awards, and Amazon Research Awards. He is a Member of the Academia Europaea, Fellow of IEEE, IAPR, BCS, and ELLIS, ACM Distinguished Speaker, and World Economic Forum Young Scientist.
What Bronstein could bring to the DeepMind Professor role at Oxford: Bronstein's combination of foundational theoretical expertise in geometric deep learning, proven success scaling AI research through major grants (five ERC awards totaling over €3.5 million), and hands-on experience translating academic breakthroughs into real-world applications (via Intel RealSense, Twitter's graph AI systems, and protein design initiatives) positions him to strengthen Oxford's AI research leadership while bridging academia and industry innovation in machine learning for biological sciences and molecular modeling.
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