
Michael Bronstein
Professor · Geometric Deep Learning
Swiss Federal Institute of Technology in LausanneAbout
Michael Bronstein is a Professor at Imperial College London, holding the Chair in Machine Learning and Pattern Recognition. He also serves as Head of Graph Learning Research at Twitter and leads ML research in Project CETI, a TED Audacious Prize-winning collaboration focused on understanding sperm whale communication.
Professor Bronstein's research centers on Geometric Deep Learning, which aims to provide a unifying mathematical framework for neural network architectures like CNNs, RNNs, GNNs, and Transformers. His work spans multiple domains including:
- Computer vision
- Social science
- Biology
- Drug design
- Protein folding
His groundbreaking research has led to applications in diverse fields, from understanding complex biological structures to developing new drug discovery methodologies. Bronstein approaches geometry in deep learning following the spirit of Felix Klein's Erlangen Programme, seeking unifying principles across disparate neural network architectures.
Professor Bronstein has received numerous prestigious awards and honors:
- Royal Society Wolfson Research Merit Award
- Royal Academy of Engineering Silver Medal
- Five ERC grants
- Two Google Faculty Research Awards
- Two Amazon AWS ML Research Awards
- Member of the Academia Europaea
- Fellow of IEEE, IAPR, BCS, and ELLIS
- ACM Distinguished Speaker
- World Economic Forum Young Scientist
Beyond academia, Bronstein is a serial entrepreneur who has founded multiple successful startups:
- Novafora
- Invision (acquired by Intel in 2012)
- Videocites
- Fabula AI (acquired by Twitter in 2019)
He previously served as Principal Engineer at Intel Perceptual Computing and was a key developer of the Intel RealSense technology.
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