Michael Bronstein

Affiliations and Roles

Michael Bronstein is a Professor at the Università della Svizzera italiana (USI) in the Faculty of Informatics and the Institute of Computational Science. He holds the Chair in Machine Learning and Pattern Recognition at Imperial College London and serves as Head of Graph Learning Research at Twitter. Previously, he was affiliated with the Dalle Molle Institute for Artificial Intelligence (IDSIA USI-SUPSI) as an Adjunct Professor.

Education

• Ph.D. in Computer Science, Technion–Israel Institute of Technology (2007)
• Visiting appointments at Stanford University, MIT, Harvard University, and Tel Aviv University

Research Interests

Bronstein's work focuses on geometric deep learning, graph representation learning, and non-rigid shape analysis. He pioneered methods for extending machine learning to non-Euclidean domains like graphs and manifolds. His research combines theoretical advancements in spectral geometry with practical applications in computer vision, robotics, and medical imaging.

Publications Trends

His articles emphasize geometric deep learning frameworks, functional maps for shape correspondence, and spectral methods for manifold analysis. Key themes include invariant representations, partial shape matching, and applications in 3D reconstruction and graph neural networks.

Awards and Honors

• Five ERC Grants
• Royal Society Wolfson Research Merit Award
• IEEE and IAPR Fellowships
• World Economic Forum Young Scientist

Advising and Entrepreneurship

Bronstein is a serial entrepreneur, founding companies like Novafora, Invision (acquired by Intel), and Fabula AI (acquired by Twitter). His academic advising spans PhD and Master’s students in machine learning and geometry processing.

Labs and Teams

Active in the Institute of Computational Science at USI and leads Twitter’s Graph Learning Research team, focusing on real-world applications of geometric deep learning.