Summary
Ferdinando Fioretto is an Assistant Professor and researcher with 11 years of experience at the intersection of AI, machine learning, optimization, and differential privacy, currently based at the University of Virginia after faculty roles at Syracuse University. He brings a strong academic background with PhD-level training and a trajectory through research positions at Georgia Tech and the University of Michigan, translating theoretical foundations into applied, privacy-aware ML methods. His work blends optimization theory with practical algorithm design for trustworthy AI, and he maintains an up-to-date portfolio at nandofioretto.com. Known for bridging rigorous math and real-world systems, he often tackles privacy constraints that are easy to state but hard to optimize in practice.
10 years of coding experience
6 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at New Mexico State University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Università degli Studi di Udine