I am assistant professor in the EECS department at Syracuse University.
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), Google, and Syracuse University.
I am a recipient of the 2022 NSF CAREER award, the 2022 Google Research Scholar Award, the 2021 ISSNAF Mario Gerla Young Investigator Award, the 2021 ACP Early Career Researcher Award, the 2018 AI*AI Best AI dissertation award, and several best paper awards. 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. I received a PhD in Computer Science from the University of Udine (with dual degree from New Mexico State University). For more details, please see my CV.