Ferdinando Fioretto

About

Ferdinando (Nando) Fioretto is an assistant professor of Computer Science at the University of Virginia. Before joining the University of Virginia, he was an assistant professor at Syracuse University and prior to that a postdoctoral research associate at the Georgia Institute of Technology and a research fellow at the University of Michigan. He obtained a dual PhD degree in Computer Science from the University of Udine and New Mexico State University. 

His research focuses on addressing foundational challenges to advance artificial intelligence, privacy, fairness, and the intersection between machine learning and optimization. His work has been recognized with the 2022 Caspar Bowden PET award, the IJCAI-22 Early Career spotlight, the 2017 AI*AI Best AI dissertation award, and several best paper awards. 
Fioretto is a recipient of the NSF CAREER award, the Google Research Scholar Award, the Amazon Research Award, the ISSNAF Mario Gerla Young Investigator Award, and the ACP Early Career Researcher Award in Constraint Programming. 
He serves as (senior) area chair for several premier ML and AI conferences, including NeurIPS, ICML, AAAI, IJCAI, and FAccT,  is a member of the editorial board for Artificial Intelligence, the premier AI journal, and has been a member of the organizing committee of several workshops, tutorials, and other events with focus on privacy, fairness, and constrained reasoning at premier AI and ML venues. For more details please see: https://nandofioretto.github.io 

Research interests include:

Machine Learning, Responsible AI, Optimization, Differential Privacy, Algorithmic Fairness

Education

Ph.D., University of Udine and New Mexico State University

B.S., University of Parma