Alberto Maria Metelli is an Assistant Professor at the Department of Electronics, Information and Bioengineering of Politecnico di Milano, working in the field of reinforcement learning. In 2025, he was awarded a FIS2 (Fondo Italiano per la Scienza) Starting Grant. He is also the co-founder of ML Cube S.r.l. and a member of the ELLIS Society.

Andrea Manzoni is an Associate Professor at the Department of Mathematics (DMAT), Politecnico di Milano. His research interests include numerical simulation, uncertainty quantification, and machine learning. Since 2020, he has been teaching courses in Computational Statistics and Reduced Order Modeling. He is also responsible for several industrial research projects and serves as the principal investigator of the “DREAM” project (Reduced Order Modeling and Deep Learning for the real-time approximation of PDEs, 2024–2029), funded by the Italian Science Fund (MUR).

Francesco Trovò is an Associate Professor at the Department of Electronics, Information and Bioengineering of Politecnico di Milano, where he conducts his research within the Artificial Intelligence and Robotic Laboratory (AIRLab). He received his Ph.D. in Information Technology from Politecnico di Milano in 2015. In 2011, he obtained his degree in Mathematical Engineering from the same institution and, in the same year, a Master of Science in Machine Learning and Data Mining from Aalto University, Helsinki.

Giacomo Boracchi is an Associate Professor at the Department of Electronics, Information and Bioengineering of Politecnico di Milano. His primary research interests concern image processing, computer vision, and machine learning. Since 2016, he has been teaching deep learning and image processing courses at Polimi, and he is leading multiple research projects with Italian and International companies.

With a degree in Mathematical Engineering, specialising in Statistical Learning from the Politecnico di Milano, he works on forecasting, online optimisation and reinforcement learning projects. An analytical approach and scientific rigour guide all his activities, with a constant focus on efficiency and innovation.

Mark Carman is an Associate Professor at the Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, where he teaches courses in Data Science and Artificial Intelligence. His research interests include information retrieval and machine learning, with a focus on Web search, recommender systems, crowdsourcing, user modelling, and text analytics. Before joining Politecnico di Milano, he held academic positions at Monash University and the Università della Svizzera Italiana. He received his PhD in Computer Science from the University of Trento in 2006.

Matteo Camilli is an Associate Professor at Politecnico di Milano. His research interests focus on software engineering, software verification, and software testing, with particular attention to methods and tools for improving the dependability of autonomous, cyber-physical, and machine learning-based critical systems. He received his Ph.D. in Computer Science from the University of Milan in 2015.

Rocco Mosconi is a Professor of Econometrics at the Department of Management Engineering of Politecnico di Milano . His research focuses on multivariate time series analysis, especially non-stationary processes and their applications in economics and finance. He has been a Visiting Professor at the University of Copenhagen and a consultant for institutions such as the European Central Bank, the European Commission (JRC Ispra) and ARERA. He also collaborates with several Research Observatories of the Graduate School of Management at Politecnico di Milano.