G. Farina PhD CMU – AI and Game Theory, careers in Machine Learning
Gabriele Farina presents his amazing research on AI and game theory for which he won prestigious awards including a NeurIPS best paper award and the Facebook Fellowship. During the Q&A, he also talks about
- career paths after a PhD in AI
- tips for students interested in doing research
- how to get into a PhD straight from the bachelor’s degree
- interesting opportunities for university students
Gabriele studied Automation and Control Engineering at Politecnico di Milano. During this period, he was advised by Nicola Gatti, did an internship in Google London, and was an official trainer for the Italian International Olympiads in Informatics (IOI) team given his previous experiences at IOI during high school.
Right after his bachelor’s in Milan, he moved to Pittsburgh for a Ph.D. at CMU, advised by Tuomas Sandholm.
Through his research, he strives to understand how optimization techniques can be leveraged to inform better decisions and outcomes under conditions involving uncertainty, hidden information, and different incentives for the agents involved. In particular, a work in collaboration between Polimi and CMU won the best paper award at NeurIPS 2020.
Riccardo De Santi, Antonio Terpin, Giulia Guidi, Gabriele Corso, Erick Turricelli