Pablo Parrilo

Pablo A. Parrilo is the Joseph F. and Nancy P. Keithley Professor of Electrical Engineering at the Massachusetts Institute of Technology, affiliated with the Department of Electrical Engineering and Computer Science and the Laboratory for Information and Decision Systems. His research bridges optimization, control theory, and algebraic geometry, focusing on convex optimization, semidefinite programming, and computational methods. Dr. Parrilo develops theoretical foundations and computational tools like SOSTOOLS for solving polynomial optimization problems and provides key insights into system robustness and control synthesis.

Research Interests: Dr. Parrilo's work centers on algebraic techniques for optimization and control, including sum-of-squares decompositions, game theory, and convex algebraic geometry. He explores applications in machine learning, autonomous systems, and combinatorial optimization.

Publications Focus: His recent publications demonstrate advances in stochastic optimization, geometric algorithms, and non-convex optimization, with consistent themes in efficient computation and theoretical guarantees.