I work on artificial intelligence, privacy, and machine learning. My recent work focuses on (1) how to make AI algorithms better aligned with societal values, especially privacy and fairness, and (2) how to use machine learning for solving complex optimization problems. I study these questions using methods and models from optimization, differential privacy, and multiagent systems. For more details, please see my publications.
My research has been generously supported by the National Science Foundation (NSF).I received a double PhD in Computer Science from the University of Udine and from the New Mexico State University, co-advised by Agostino Dovier and Enrico Pontelli. My doctoral dissertation titled "Exploiting the Structure of Distributed Constrained Optimization" received a AI*IA award for best AI dissertation.
Before joining Syracuse University, I was a postdoctoral research associate at the Georgia Institute of Technology and a research fellow at the University of Michigan. For more details, please see my CV.