Biography

Bartolomeo Stellato is an Assistant Professor in the Department of Operations Research and Financial Engineering at Princeton University. Previously, he was a Postdoctoral Associate at the MIT Sloan School of Management and Operations Research Center. He holds a DPhil (PhD) in Engineering Science from the University of Oxford, a MSc in Robotics, Systems and Control from ETH Zürich, and a BSc in Automation Engineering from Politecnico di Milano. He developed OSQP, a widely used solver in mathematical optimization. His awards include a Sloan Research Fellowship, the 2024 Beale — Orchard-Hays Prize, an ONR Young Investigator Award, an NSF CAREER Award, the 2024 Princeton SEAS Howard B. Wentz Jr. Faculty Award, the 2022 Franco Strazzabosco Young Investigator Award from ISSNAF, a Princeton SEAS Innovation Award in Data Science, the 2021 Best Paper Award in Mathematical Programming Computation, and the 2018 First Place Prize Paper Award in IEEE Transactions on Power Electronics. His research focuses on data-driven computational tools for mathematical optimization, machine learning, and optimal control.