Pablo A. Parrilo is a Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology. He is currently Associate Director of the Laboratory for Information and Decision Systems (LIDS), and is also affiliated with the Operations Research Center (ORC). He has served in the past as Assistant Professor at the Automatic Control Laboratory of the Swiss Federal Institute of Technology (ETH Zurich), and Visiting Associate Professor at the California Institute of Technology, and has had short-term research visits at the University of California at Santa Barbara (Physics), Lund Institute of Technology (Automatic Control), and University of California at Berkeley (Mathematics). He received an Electronics Engineering undergraduate degree from the University of Buenos Aires, and a PhD in Control and Dynamical Systems from the California Institute of Technology. His research interests include optimization methods for engineering applications, control and identification of uncertain complex systems, robustness analysis and synthesis, and the development and application of computational tools based on convex optimization and algorithmic algebra to practically relevant engineering problems. Parrilo has received several distinctions, including a Finmeccanica Career Development Chair, the Donald P. Eckman Award of the American Automatic Control Council, the SIAM Activity Group on Control and Systems Theory (SIAG/CST) Prize, the IEEE Antonio Ruberti Young Researcher Prize, and the Farkas Prize of the INFORMS Optimization Society. He is an IEEE Fellow.
- Geometry of Polynomials, Spring 2019. Visiting Scientist, Program Organizer and Workshop Organizer.
- Bridging Continuous and Discrete Optimization, Fall 2017. Visiting Scientist, Program Organizer and Workshop Organizer.
- Algorithmic Spectral Graph Theory, Fall 2014. Visiting Scientist and Workshop Organizer.
- Algorithms and Complexity in Algebraic Geometry, Fall 2014. Visiting Scientist.