Dr. Woody Zhu: Generative Models for Public Policy Making
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Dr. Woody Zhu: Generative Models for Public Policy Making
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このコンテンツについて
Woody (Shixiang) Zhu is an Assistant Professor of data analytics at Heinz College of Information Systems and Public Policy. He received his PhD in Machine Learning at Georgia Tech in ISyE. He develops models for spatio-temporal data and dynamic networks, and decision making under uncertainty. He was a finalist for the 2021 INFORMS Wagner prize and won second place in the 2019 INFORMS Doing Good with Good OR.
First 1/2:
We discuss Woody's decision to pursue a PhD in ML at Georgia Tech, and we discuss Woody's decision to become a professor at CMU.
Second 1/2:
We talk about two of Woody's recent papers. One work titled Counterfactual Generative Models for Time-Varying Treatments and the other titled Data-Driven Optimization for Atlanta Police Zone Design.
Enjoy!