ProfessorMichael Bronstein

Michael Bronstein joined the Department of Computing as Professor in 2018. He has served as a professor at USI Lugano, Switzerland since 2010 and held visiting positions at Stanford, Harvard, MIT, TUM, and Tel Aviv University. Michael received his PhD with distinction from the Technion (Israel Institute of Technology) in 2007. His main expertise is in theoretical and computational geometric methods for machine learning and data science, and his research encompasses a broad spectrum of applications ranging from computer vision and pattern recognition to geometry processing, computer graphics, and biomedicine. Michael has authored over 200 papers, a book, and holds over 35 granted patents. He was awarded five ERC grants, two Google Faculty Research awards, two Amazon ML Research awards, Facebook Computational Social Science award, Dalle Molle prize, Royal Society Wolfson Merit award, and Royal Academy of Engineering Silver Medal. He is a PI and ML Lead in Project CETI, a TED Audacious Prize winning collaboration aimed at understanding the communication of sperm whales. During 2017-2018 he was a fellow at the Radcliffe Institute for Advanced Study at Harvard University and since 2017, he is a Rudolf Diesel fellow at TU Munich. He was invited as a Young Scientist to the World Economic Forum, an honour bestowed on forty world’s leading scientists under the age of forty. Michael is a Member of Academia Europaea, Fellow of IEEE, IAPR, ELLIS, and BCS, alumnus of the Technion Excellence Program and the Academy of Achievement, and ACM Distinguished Speaker. In addition to academic work, Michael's industrial experience includes technological leadership in multiple startup companies, including Novafora, Videocites, Invision (acquired by Intel in 2012), and Fabula AI (acquired by Twitter in 2019). Following the acquisition of Fabula, he joined Twitter as Head of Graph Learning Research. He previously served as Principal Engineer at Intel Perceptual Computing (2012-2019) and was one of the key developers of the Intel RealSense 3D camera technology. He is also an angel investor and supporter of multiple early-stage startups.

Education
Ph.D. (with distinction) in Computer Science, Technion 2007
M.Sc. (summa cum laude) in Computer Science, Technion 2005
B.Sc. (summa cum laude) in Electrical Engineering, Technion 2002
academic Positions
Radcliffe fellow, Institute for Advanced Study, Harvard University (2017-2018)
Research affiliate, CSAIL, MIT (2017-2018)
Visiting scholar, SEAS, Harvard University (2017-2018)
Rudolf Diesel industrial fellow, Institute for Advanced Study, TUM (2017-)
Visiting professor, Tel Aviv University (2015-2017)
Professor, USI Lugano (2010-)
Visiting lecturer, Stanford University (2008-2009)
industrial positions
Scientific advisor, Relation Therapeutics (2020-)
Head of Graph Learning Research, Twitter (2019-)
Co-founder, Chief Scientist, Fabula AI (2018-2019)
Co-founder, Technical advisor, Videocites (2014-)
Principal Engineer, Intel (2012-2019)
Principal technologist, Invision (2009-2012)
Co-founder, VP Technology, Novafora (2004-2009)

AWARDS

Royal Academy of Engineering Silver Medal, 2020
Prix de la Fondation Dalle Molle pour la qualité de la vie, 2018
Royal Society Wolfson Research Merit Award, 2018
Best Paper Award, Symposium on Geometry Processing, 2016
Intel High Five Award, 2015
EUROGRAPHICS Service Award, 2012
Best Paper Award, Copper Mountain Conference on Multigrid Methods, 2005
Hershel Rich Technion Innovation Award, 2003
Gensler Prize, 2003
Honorary Student Delegate, International Achievement Summit, 2003
Alumnus, Technion Excellence Program, 2002
Fellowships
Member, Academia Europaea, 2020
Fellow, British Computer Society (BCS), 2020
Fellow, European Lab for Learning and Intelligent Systems (ELLIS), 2019
Fellow, Institute of Electrical and Electronics Engineers (IEEE), 2018
Fellow, International Association for Pattern Recognition (IAPR), 2018
Radcliffe Fellow, Institute for Advanced Study, Harvard University, 2017
Rudolf Diesel Industrial Fellow, Institute for Advanced Study, TU Munich, 2017
ACM Distinguished Speaker, 2015
Elected member, Global Young Academy, 2015
Elected member, Young Academy of Europe, 2015
Young Scientist, World Economic Forum, 2014
Adams Fellow, 2005
Grants
Amazon Machine Learning Research Award, 2020
ERC Proof of Concept Grant, 2019
Facebook Computational Social Science award, 2018
ERC Proof of Concept Grant, 2018
Amazon Machine Learning Research Award, 2018
Google Faculty Research Award, 2017
ERC Consolidator Grant, 2016
ERC Proof of Concept Grant, 2016
Google Faculty Research Award, 2015
ERC Starting Grant, 2012
EDItorial boards
International Journal of Computer Vision (2017-)
SIAM Journal on Imaging Sciences (2018-)
Computers and Graphics (2018-)
Computer Vision and Image Understanding (2013-)