Research Expertise and Interest

large-scale convex optimization, statistical machine learning, data-driven decision-making

Research Description

Paul Grigas's research interests include large-scale convex optimization, statistical machine learning, and data-driven decision making.  He is also interested in applications in online advertising and data analytics, among other areas.  Paul was recently awarded the 2015 INFORMS Optimization Society Student Paper Prize, and he was the recipient of an NSF Graduate Research Fellowship.  Paul received his PhD in Operations Research from MIT in 2016. Previously, he earned a B.S. in Operations Research and Information Engineering from Cornell University.