Ferdinando (Nando) Fioretto is an Associate Professor of Computer Science at the University of Virginia, where he leads the Responsible AI for Science and Engineering (RAISE) lab. His research develops foundational machine learning and generative AI methods for scientific and engineering systems that must obey control objectives, hard constraints, safety requirements, and physical laws.
He is a recipient of the Caspar Bowden PET award, the NSF CAREER award, the Google Research Scholar Award, the Amazon Research Award, the the ISSNAF Mario Gerla Young Investigator Award, the ACP Early Career Researcher Award, the AI*AI Best AI dissertation award, and several best paper awards. He has been a board member of the Artificial Intelligence Journal (AIJ) and of the organizing committee of several workshops, tutorials, and events with focus on privacy, fairness, and optimization at premier AI and ML venues.
Nando serves the broader AI and machine learning communities through editorial, reviewing, and organizing roles. He is a board member of the Artificial Intelligence Journal (AIJ) and an associate editor of the Journal of Artificial Intelligence Research (JAIR) and the INFORMS Journal on Computing. He has also helped organize workshops, tutorials, and research events on privacy, safety, fairness, optimization, and trustworthy machine learning at major AI and ML venues.
Nando received a dual PhD in Computer Science from the University of Udine and New Mexico State University. Before joining the University of Virginia, he was a postdoctoral research associate at the Georgia Institute of Technology, a research fellow at the University of Michigan, and an assistant professor at Syracuse University.