I am assistant professor in the EECS department at Syracuse University.
My work makes advances in foundational Artificial Intelligence
(AI) research with focus on two key themes:
I approach these directions by applying the tools and perspectives of optimization theory, differential privacy, and statistics to problems in decision-making and machine learning. For more details, please see my publications.
My research is generously supported by the National Science Foundation (NSF), Google, Amazon, and Syracuse University.
I am a recipient of the 2022 AWS Amazon Research Award, the 2022 NSF CAREER award, the 2022 Google Research Scholar Award, the 2022 Caspar Bowden PET 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 (Italy) and a BS in Computer Science and Mathematics from the University of Parma (Italy). For more details, please see my CV.
Prospective Students
Due to the large number of requests I receive, unfortunately, I cannot respond to all prospective graduate students. I apology in advance. It is best to contact me after you have submitted your application.Occasionally, I post openings for various roles (research scholars, interns, etc.). Please check my website or follow me on Twitter for updates.