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Pablo Parrilo

Joseph F. and Nancy P. Keithley Professor, Department of Electrical Engineering and Computer Science

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Information Theory Machine Learning Optimization Robustness

Pablo A. Parrilo is the Joseph F. and Nancy P. Keithley Professor of Electrical Engineering and Computer Science at MIT, with a joint appointment in Mathematics. He is affiliated with the Laboratory for Information and Decision Systems (LIDS) and the Operations Research Center (ORC). Past appointments include 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. 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 mathematical optimization, machine learning, control and identification, 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 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 and SIAM Fellow.

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