Send us a text Evelyn Xiao-Yue Gong is an Assistant Professor of OM at Tepper. She has a PhD from the ORC at MIT, where she was advised by David Simchi-Levi and Jim Orlin. She spent summers at Google Research, Microsoft, HelloFresh, and DE Shaw. Her main research pertains to AI for supply chain and sustainability. She also works on assortment optimization and data-driven decision making. In the first half of the episode, we discuss her journey from being a PhD student to an assistant profess...
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Send us a text Evelyn Xiao-Yue Gong is an Assistant Professor of OM at Tepper. She has a PhD from the ORC at MIT, where she was advised by David Simchi-Levi and Jim Orlin. She spent summers at Google Research, Microsoft, HelloFresh, and DE Shaw. Her main research pertains to AI for supply chain and sustainability. She also works on assortment optimization and data-driven decision making. In the first half of the episode, we discuss her journey from being a PhD student to an assistant profess...
Send us a text Dr. Ben Moseley - professor at CMU - discusses his research and his work with Relational AI. His research includes learning-augmented algorithms, which combines machine learning based predictions with algorithms for common problems like maximum matchings. He also works on scheduling related problems. Dr. Moseley gives some insights into why he enjoys being a professor in Operations Research, and how he enjoys working on theoretical problems with practical applications. We also ...
Optimizing You
Send us a text Evelyn Xiao-Yue Gong is an Assistant Professor of OM at Tepper. She has a PhD from the ORC at MIT, where she was advised by David Simchi-Levi and Jim Orlin. She spent summers at Google Research, Microsoft, HelloFresh, and DE Shaw. Her main research pertains to AI for supply chain and sustainability. She also works on assortment optimization and data-driven decision making. In the first half of the episode, we discuss her journey from being a PhD student to an assistant profess...
