Michael Bronstein

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.

Michael Bronstein
Michael Bronstein (2019)
Born
Tula, Russia
NationalityIsraeli
Alma materTechnion
Known forGeometric deep learning
Non-rigid shape analysis
Intel RealSense technology
AwardsMAE 2020
Fellow BCS 2020
IEEE Fellow 2019
IAPR Fellow, 2018
Royal Society Wolfson Research Merit Award, 2018
Scientific career
FieldsComputer Science
InstitutionsImperial College London, University of Lugano, Harvard University
Doctoral advisorRon Kimmel

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 2009-2010, and at Harvard University and MIT between 2017-2018. 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 2012-2019, 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

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.

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
  1. "Radcliffe fellows 2017-2018".
  2. "TUM IAS alumni fellows".
  3. "IAS Seminar on Theoretical Machine Learning, 2020".
  4. Spangler, Todd (3 June 2019). "Twitter Buys Artificial-Intelligence Startup to Help Fight Spam, Fake News and Other Abuse". Variety. Retrieved 2019-06-08.
  5. "Twitter Buys London Start-Up Fabula AI". Silicon UK. 3 June 2019. Retrieved 2019-06-08.
  6. "An Idea From Physics Helps AI See in Higher Dimensions, Quanta Magazine 2020".
  7. "AI-designed HyperFood against cancer, TEDx Lugano 2019".
  8. "How to Build an Intelligent Machine, World Economic Forum 2015".
  9. "Royal Academy of Engineering Silver Medals".
  10. "AE Elected Members 2020".
  11. "IEEE Fellow Class 2019" (PDF).
  12. "Cérémonie de remise des Prix Labels 2018 Dalle Molle".
  13. "ACM Distinguished Speakers".
  14. "WEF Young Scientists Class 2014" (PDF).
  15. "Michael Bronstein-2020 Machine Learning Research Awards recipient".
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