Paul Grigas

I am an associate professor of Industrial Engineering and Operations Research (IEOR) at the University of California, Berkeley. My research interests are broadly in optimization, machine learning, and data-driven decision making. I enjoy thinking about new ways to build machine learning models for decision-making problems (usually modeled with optimization), and how to design and analyze optimization algorithms for problems in machine learning and operations research. I have worked on and am interested in applications in online advertising and other areas.

My work has been funded by the National Science Foundation (NSF), and I am affiliated with the NSF Artificial Intelligence (AI) Research Institute for Advances in Optimization (AI4OPT).

I received my B.S. in Operations Research and Information Engineering (ORIE) from Cornell University in 2011, and my Ph.D. in Operations Research from MIT in 2016.