Wenbin Zhou

Welcome!

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 modeling, medical policy engineering, 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 in Pittsburgh on August 23-24! Students of all levels are welcome to join! [Poster Register] [Flash Talk Register]!

Publications and Preprints

[1] Counterfactual Generative Models for Time-varying Treatments
Shenghao Wu, Wenbin Zhou, Minshuo Chen, and Shixiang Zhu

• Spotlight, Deep Generative Models for Health Workshop, NeurIPS 2023
• Causal Representation Learning Workshop, NeurIPS 2023

News

• [April 2024] Serving as a session chair for Predictive Analytics for High-stake Decision Making in INFORMS Annual 2024. [INFORMS DAS]
• [March 2024] Serving as a session co-chair for flash talks & posters in YinzOR 2024. [YinzOR] [CMU INFORMS]
• [December 2023] Attended NeurIPS 2023 at New Orleans, LA. [NeurIPS 2023] [Poster]
• [October 2023] Our paper got accepted in the Deep Generative Models for Health Workshop and the Causal Representation Learning Workshop. [Paper] [DGM4H@NeurIPS2023] [CRL@NeurIPS2023]
• [August 2023] Won first place in the 2023 YinzOR Student Conference Poster Competition. [Poster] [YinzOR] [CMU INFORMS]
• [August 2023] Joined CMU as a Ph.D. student. [CMU] [Heinz College]

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