Wenbin Zhou

Welcome!

I am a Ph.D. student in Machine Learning and Public Policy at Carnegie Mellon University, advised by Woody Zhu. I received my B.S. in Statistics at University of Science and Technology of China in 2023.

My research interest lies broadly in studying data-driven decision-making problems in real-world applications such as sustainability and public health. I develop new statistical machine learning tools for this purpose, spanning topics such as generative models, uncertainty quantification, and causal inference.

Research

[1] Isometry-Preserving Generative Modeling for Spatial Transcriptomics
Wenbin Zhou and Jin-Hong Du
23rd International Workshop on Data Mining in Bioinformatics (BIOKDD), 2024

[2] 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

News

• [May 2024] Joined Argonne National Laboratory as a research intern. [Argonne]
• [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]
• [October 2023] One paper got accepted in the Deep Generative Models for Health Workshop (spotlight) 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]

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