Consistently working with customers closely, ML cube team has a deep insight in how AI enhances your business.
We believe that Artificial Intelligence will be part of our lives and design models for every business, becoming an inseparable part for products and services.
In this demanding scenario, we want to play a key-role supporting customers who choose to invest in AI with innovative tools to guarantee high-standards performance and a life-long maintenance of their AI system.
We always work as a great team
Nicola Caporaso is an Entrepreneur and a Management Consultant, with more than 20 years experience in Financial and Capital Markets sectors. He worked along with top Italian banks and other national players and founded Kayrhos in 2017, a Management Consulting boutique with a comprehensive professional project in Business Innovation, Operational Design and Tech&Digital issues, focused on Banking and Financial Services. He is also a MIP certified Startup Mentor at Polihub, engaged in launching innovative businesses covering multiple sectors. He is also a topic specialist at Bocconi Alumni on Innovation&Business Transformation and member of AFC Net, the Bocconi University Administration, Finance e Control Community. He received his MSc in Business Administration at Università Cattolica del Sacro Cuore di Milano and an Executive Master in Corporate Finance and Banking at SDA Bocconi.
Marcello Restelli is associate professor at the Department of Electronics, Information and Bioengineering of Politecnico di Milano, currently teaching “Machine Learning” courses. He is also board member of the “Data Science and Computation” Ph.D Programme and his research interests in Machine Learning algorithms particularly focus on the development of Reinforcement Learning techniques and their application to real-world problems (Robotics, Finance, Autonomous Vehicles, Water Resource Management, etc.). Formerly member of the Programme Committee and area chair of the main international conferences in his research area (NIPS, ICML, ICLE, AISTATS, AAAI, and IJCAI, etc.), he is now principal investigator of more than 20 research projects, funded both by public sector and main private Italian companies (Banca Intesa, Eni, Ferrari, Pirelli, etc.). He published more than 100 peer-reviewed papers on some of the most prestigious international conferences and journals and served as a reviewer for several international academic publications.
Nicola Gatti is associate professor at the Department of Electronics, Information and Bioengineering of Politecnico di Milano, currently teaching “Data Intelligence Applications” and “Economics and Computation” courses. His research interests focus on Optimization and Machine Learning in economic situations. He is a board member of “Computer Science and Engineering” PhD Programme, of the Italian National Laboratory for Artificial Intelligence&Intelligence Systems and of the Italian Association for Artificial Intelligence. Also, he is co-director of the Italian Observatory in Artificial Intelligence and of the AI Research and Innovation Center of Politecnico di Milano. In 2020, He won the “Best Paper Award'' at NeurIPS conference with the paper “No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium”.
Alessandro Nuara is a Ph.D. student in Information Technology at the Department of Electronics, Information and Bioengineering of Politecnico di Milano and co-founder of ML cube. During his research, he gained a deep expertise on Online Machine Learning techniques and on their application to microeconomics environments, with a particular focus on online advertising and dynamic pricing. In 2019, he worked as an Applied Scientist Intern in the Machine Learning and Optimization team at Amazon (Seattle). He is currently teaching assistant of the course “Data Intelligence Applications” and he is working on industrial research projects as a research fellow at Politecnico di Milano.
Francesco Trovò is assistant professor at the Department of Electronics, Information and Bioengineering of Politecnico di Milano. He taught “Artificial Intelligence” courses at Università degli Studi di Bergamo and “Online Learning and Monitoring” courses for the Ph.D Programme at Politecnico di Milano. His main expertise covers Machine Learning techniques and their application to real-world scenarios (Health Care, Ticket Pricing, Advertisement, Portfolio Optimization). Since he received his Ph.D. in 2015, he worked with the AirLab research group on several scientific and industrial projects, while being senior researcher in more than 20 industrial research projects, funded by Italian companies (Volagratis, DoveVivo, AdsHotel, RSE, etc.).
Alberto Marchesi is a Postdoc research assistant at the Department of Electronics, Information and Bioengineering of Politecnico di Milano and co-founder of ML cube. He received his Ph.D. degree in Computer Science from Politecnico di Milano, where he worked on several scientific projects with the AirLab research group. He won the “Best Paper Award” at NeurIPS conference with the paper “No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium”.
His research focuses on AI and Machine Learning, with a particular emphasis on how to combine AI techniques with economic paradigms, in order to build artificial systems capable of strategic decision making in real-world scenarios (e.g., in dynamic pricing, auctions, and security). He is also interested in algorithms design, computational complexity, and optimization.
Alberto Maria Metelli is a Ph.D. candidate in Information Technology and research assistant at the Department of Electronics, Information and Bioengineering of Politecnico di Milano and co-founder of ML Cube. He received his Master's degree in Computer Science and Engineering at Politecnico di Milano in 2017 and he has been working since then in the AIRLab group. His main research interests revolve around artificial intelligence and machine learning, in particular reinforcement learning. He contributed to industrial research projects funded by Italian companies, such as Magneti Marelli and Ferrari.
We help you not only apply AI to your business, but to make a success of it.
Our PhD-trained AI engineers can help you implement state of the art techniques for AI to deliver products that learn, adapt, and interact with their environment.
We have experience in developing tailored solutions — including complex machine learning, natural language processing, and computer vision technologies — for entrepreneurs, startups, and Middle and Large companies.