About me
Paul Grigas is an associate professor of Industrial Engineering and Operations Research at the University of California, Berkeley. Paul’s research interests are broadly in optimization, machine learning, and data-driven decision-making, with particular emphasis on contextual stochastic optimization and algorithms at the interface of machine learning and continuous optimization. Paul’s research is funded by the National Science Foundation, and he is affiliated with the NSF Artificial Intelligence (AI) Research Institute for Advances in Optimization (AI4OPT). Paul was awarded 1st place in the 2020 INFORMS Junior Faculty Interest Group (JFIG) Paper Competition and the 2015 INFORMS Optimization Society Student Paper Prize. He received his B.S. in Operations Research and Information Engineering (ORIE) from Cornell University in 2011, and his Ph.D. in Operations Research from MIT in 2016.
