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 received his DPhil (PhD) in Engineering Science from the University of Oxford as part of the Marie Curie EU project TEMPO. He holds a MSc in Robotics, Systems and Control from ETH Zürich and a BSc in Automation Engineering from Politecnico di Milano. He is the developer of OSQP, which is one of the most widely used software in mathematical optimization. Bartolomeo Stellato received the NSF CAREER Award, the Franco Strazzabosco Young Investigator Award from ISSNAF, the Princeton SEAS Innovation Award in Data Science, the Best Paper Award in Mathematical Programming Computation, the INFORMS Pierskalla Best Paper Award, and the 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.