Nicola Gatti is an associate professor of Computer Science and Engineering in the Department of Electronics, Information, and Bioengineering at Politecnico di Milano. His Research activities are grounded in the Artificial Intelligence area. His main achievements come from algorithmic game theory, allocation problems and incentives, algorithmic social choice theory, multiagent learning, and online learning. His contributions to these fields range from new algorithms and theoretical results to experimental analyses, implemented systems, and innovative real-world applications of AI techniques. He published more than 160 peer-reviewed archival research papers. More precisely, he published in the premier AI journals Artificial Intelligence (8) and Journal of Artificial Intelligence Research (3), as well as in the premier AI conferences AAMAS (33), AAAI (29), IJCAI (9), NeurIPS (6), ECAI (5), ICML (4), UAI (3), and ACM EC (3). Moreover, he published AI results in some of the most prestigious venues for computer science, microeconomics, and computer engineering, including Journal of the ACM, Algorithmica, Games and Economic Behavior, IEEE Transactions on Mobile Computing, IEEE Transactions on Information Technologies in Biomedicine, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Wireless Communication, WWW, KDD. His research activities received several awards, including the 2011 AIxIA Marco Somalvico Award as the best Italian young researcher in AI, the best paper award in several conferences, including the prestigious NeurIPS 2020 and Cooperative AI 2021 funded by Google Deepmind. In 2021 he was elected as a EurAi Fellow (top <3% of the European AI scientists) and awarded at IJCAI 2022. He is one of the ten spoke coordinators of the PNRR-PE project (FAIR) on AI. Specifically, he coordinates the spoke on machine learning with a budget of 12 MEuros. He is/was the principal investigator of a number of research/industrial projects focusing on AI methods and technologies that led to the deployment of longstanding industrial applications (e.g., dynamic pricing for lastminute.com). He co-founded two spin-offs (WayNaute and ML cube), offering ICT solutions with advanced optimization and machine learning algorithms. In particular, Forbes nominated ML cube as one of the top 10 Italian AI startups in 2022. At Politecnico di Milano, he is the chair of the Excellence Programme in Scientific Research and co-director of the AI Research and Innovation Center, ELLIS Unit Milan, and Observatory in AI. He is a board member of the Italian Laboratory of Artificial Intelligence and Intelligent Systems and served the international AI community in various ways, including being a board member of the International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) and of Italian Association for Artificial Intelligence (AIxIA).