Michael Bronstein

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Michael Bronstein
Michael Bronstein (2019)
Born	Tula, Russia
Citizenship	Israel
Alma mater	Technion
Known for	Geometric deep learning Non-rigid shape analysis Intel RealSense technology
Awards	MAE 2020 Fellow BCS 2020 IEEE Fellow 2019 IAPR Fellow, 2018 Royal Society Wolfson Research Merit Award, 2018
Scientific career
Fields	Computer Science
Institutions	Imperial College London, University of Lugano, Harvard University
Doctoral advisor	Ron Kimmel

Michael Bronstein MAE FIEEE FBCS (b. 1980) is an Israeli computer scientist, entrepreneur, and investor. He is a professor at Imperial College London and University of Lugano and Head of Graph Learning Research at Twitter.

Biography[]

Bronstein received his PhD from the Technion in 2007. Since 2010, he has been a professor at the Institute of Computational Science, University of Lugano, Switzerland. In 2018, he took the Chair in Machine Learning and Pattern Recognition in the Department of Computing, Imperial College London.

Bronstein has held visiting appointments at Stanford University between 2009 and 2010, and at Harvard University and MIT between 2017 and 2018. He has been affiliated with the Radcliffe Institute for Advanced Study at Harvard University (as a Radcliffe fellow, 2017-2018^[1]), the Institute for Advanced Study at Technical University of Munich (as Rudolf Diesel industrial fellow, 2017-2019^[2]) and the Institute for Advanced Study in Princeton (as visitor, 2020^[3]).

Bronstein was a co-founder of the Israeli startup Invision, developing a coded-light 3D range sensor. The company was acquired by Intel in 2012 and has become the foundation of Intel RealSense technology. Bronstein served as Principal Engineer at Intel between 2012 and 2019, playing a leading role in the development of RealSense.

In 2018, Bronstein founded Fabula AI, a London-based startup aiming to solve the problem of online disinformation by looking at how it spreads on social networks. The company was acquired by Twitter in 2019.^[4][5]

Work[]

Bronstein's research interests are broadly in theoretical and computational geometric methods for data analysis. His research encompasses a spectrum of applications ranging from machine learning, computer vision, and pattern recognition to geometry processing, computer graphics, and imaging. He is mainly known for his research on deformable 3D shape analysis and "geometric deep learning" (a term he coined^[6]), generalizing neural network architectures to manifolds and graphs.

Public appearances[]

Bronstein was a speaker at TEDx Lugano 2019 (with Kirill Veselkov)^[7] and the World Economic Forum 2015.^[8]

Awards[]

• Silver Medal of the Royal Academy of Engineering, 2020^[9]
• Fellow of the British Computer Society
• Member of the Academia Europaea, 2020^[10]
• IEEE Fellow, 2019^[11]
• Prix de la Fondation Dalle Molle, 2018^[12]
• Royal Society Wolfson Research Merit Award, 2018
• IAPR Fellow, 2018
• ACM Distinguished Speaker, 2015^[13]
• World Economic Forum Young Scientist, 2014^[14]
• Hershel Rich Technion Innovation Award, 2003

Bronstein is also the recipient of five ERC grants, two Google Faculty Research awards, and two Amazon AWS ML Research grants.^[15]

Personal life[]

Bronstein is married with one child and currently resides in London. He is the identical twin brother of Alex Bronstein.^{[citation needed]}

Publications[]

• "Numerical Geometry of Non-Rigid Shapes" (with Alex Bronstein and Ron Kimmel), Springer 2008.
• "Geometric deep learning: going beyond Euclidean data" (with Yann Lecun, Joan Bruna, Arthur Szlam and Pierre Vandergheynst), IEEE Signal Processing Magazine 2017.

References[]

External links[]

• Michael Bronstein's homepage at Imperial College