Wenbin Zhou

Ph.D. Student
Carnegie Mellon University
wenbinz2 (at) andrew.cmu.edu


I am a Ph.D. student at Heinz College of Information Systems and Public Policy of Carnegie Mellon University, advised by Woody Zhu. Before joining Carnegie Mellon University, I received my B.S. in Statistics at University of Science and Technology of China in 2023.

I am broadly interested in studying data-driven decision-making problems in real-world applications such as power systems, public health, and transportation. I hope to integrate and develop new statistical machine learning paradigms for this purpose, spanning topics such as generative models, uncertainty quantification, and causal inference.

We are organizing [YinzOR 2024]! Consider submitting your work here [Poster Register] [Flash Talk Register]!


[1] Counterfactual Generative Models for Time-varying Treatments
Shenghao Wu, Wenbin Zhou, Minshuo Chen, and Shixiang Zhu
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2024


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