Posts Tagged ‘Paul Grigas’

Grigas to Investigate New Framework For Operations-Driven Machine Learning

IEOR professor Paul Grigas has just been awarded $290,060 by the National Science Foundation to improve operational decision-making by leveraging data and machine learning. Grigas will collaborate with Adam Elamchtoub from Columbia University to advance a new statistical learning framework called Smart “Predict, then Optimize” (SPO) which aims to improve optimization and prediction for better decisions in sectors such as transportation,…

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IEOR Welcomes Paul Grigas as new Assistant Professor

The Department of Industrial Engineering and Operations Research at UC Berkeley is proud to welcome Paul Grigas as a new Assistant Professor this fall. Paul’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…

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