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 D.Phil. (Ph.D.) in Engineering Science from the University of Oxford as part of the Marie Curie EU project TEMPO. He holds a M.Sc. in Robotics, Systems and Control from ETH Zürich and a B.Sc. 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 is the recipient of the 2021 Princeton SEAS Innovation Award in Data Science, the 2020 Best Paper Award in Mathematical Programming Computation, the 2020 INFORMS Pierskalla Best Paper Award, and the 2017 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.