Massimiliano Pontil is Senior Researcher at the Italian Institute of Technology (IIT), where he leads the Computational Statistics and Machine Learning unit, and co-director of the ELLIS Unit Genoa, a joint initiative of IIT and the University of Genoa. He is also Professor of Computational Statistics and Machine Learning at University College London and a member of the UCL Centre for Artificial Intelligence. His research addresses the statistical and algorithmic foundations of machine learning, with contributions to kernel methods, multitask and transfer learning, sparsity regularization, learning of dynamical systems, algorithm fairness, and hyperparameter optimization. He has authored over 200 papers in leading international journals and conferences, cited over 18,000 times (h-index 62, Scopus, November 2025). He has received a number of international awards (including the ICML 2013 Best Paper Runner-Up Award and an EPSRC Advanced Research Fellowship) and has played an active role in the scientific community through programme committees (COLT, ICML, NeurIPS), editorial boards (MLJ, JMLR), and advisory roles at major research institutions. He has held visiting positions at several universities and research institutes, including the Isaac Newton Institute in Cambridge, ENSAE Paris, École Polytechnique, MIT, and Universidad Carlos III de Madrid.
Massimiliano Pontil
Senior Researcher Tenured - Principal Investigator
Senior Researcher Tenured - Principal InvestigatorComputational Statistics and Machine Learning
Phone
+39 010 2897 409
Research center
CHT@Erzelli
About
Education
Title: Ph.D. in Physics
Institute: University of Genoa
Location: Genoa
Country: Italy
From: 1996 To: 1999
All Publications
2025
Mezidi A.-R., Patracone J., Salzo S., Habrard A., Pontil M., Emonet R., Sebban M.
A Bregman Proximal Viewpoint on Neural Operators
Proceedings of Machine Learning Research, vol. 267, pp. 43965-43989
Conference Paper
Conference
2025
Mirzaei E., Maurer A., Kostic V.R., Pontil M.
An Empirical Bernstein Inequality for Dependent Data in Hilbert Spaces and Applications
Proceedings of Machine Learning Research, vol. 258, pp. 5158-5166
Conference Paper
Conference
2025
Turri G., Kostic V., Novelli P., Pontil M.
A randomized algorithm to solve reduced rank operator regression
SIAM Journal on Mathematics of Data Science
Article
Journal
2025
Siems J., Carstensen T., Zela A., Hutter F., Pontil M., Grazzi R.
DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products
Annual Conference on Neural Information Processing Systems
Conference Paper
Conference
2025
Ordonez-Apraez D., Kostic V. R., Fröhlich A., Lounici K., Pontil M.
Equivariant Representation Learning for Symmetry-Aware Inference with Guarantees
Workshop on Making Sense of Data in Robotics: Composition, Curation, and Interpretability at Scale at CoRL 2025
Conference Paper
Conference
Awards and Achievements
2024
Sabattini L., Coriolano A., Casert C., Forti S., Barnard S. B., Beltram F., Pontil M., Whitelam S., Coletti C., Rossi A.
AI-Driven Protocol for 2D Materials Growth: Integrating Adaptive Synthesis and Spectral Analysis
2024
Sabattini L., Coriolano A., Casert C., Forti S., Barnard S. B., Beltram F., Pontil M., Whitelam S., Coletti C., Rossi A.
BEST ORAL PRESENTATION: AI-Driven Protocol for 2D Materials Growth: Integrating Adaptive Synthesis and Spectral Analysis
2023
Bonati L., Perego S., Buigues P., Novelli P., Grazzi R., Pontil M.
Open Catalyst Challenge - Runner Up Team
2022
Pontil M.
Spoke 10 Leader, FAIR Foundation
2020
Pontil M.
Advisory Board, Max Planck Institute for Intelligent Systems, Germany
Editorships
2013-2025
Pontil M.
Journal of Machine Learning Research
2009-2018
Pontil M.
Machine Learning Journal
Colleagues of Computational Statistics and Machine Learning