Shihao Wu 吴世豪
Department of Statistics and Data Science
University of California, Davis
Email: shaowu (at) ucdavis (dot) edu
Office: 4109 Mathmatical Sciences Building
One Shields Avenue, Davis, CA 95616
Department of Statistics and Data Science
University of California, Davis
Email: shaowu (at) ucdavis (dot) edu
Office: 4109 Mathmatical Sciences Building
One Shields Avenue, Davis, CA 95616
About Me
Hi, I am an Assistant Professor of Statistics and Data Science at the University of California, Davis. Prior to joining UC Davis in 2026, I received a Ph.D. in Statistics from the University of Michigan, where I was fortunate to be advised by Ji Zhu and Gongjun Xu. I received my bachelor's degree from Fudan University in 2021.
My research interests include relational structures, (hyper)graph network analysis, latent space methods; generative modeling and representation learning for structured data; statistical machine learning, computing, high-dimensional statistics, and their applications in Health Care, Economics/Finance, and Psychology.
Selected Awards and Honors
2025-2026 Rackham Predoctoral Fellowship, Rackham Graduate School, University of Michigan
2024 AERA Outstanding Reviewer Award, American Educational Research Association
2024-2025 Rackham International Student Fellowship, Rackham Graduate School, University of Michigan
2024 IMS ICSDS Student Travel Award, Institute of Mathematical Statistics
2024 IMPS Graduate Research Competition Award, Psychometric Society
"Expanding the Scope of Data Sources in Psychometric Research by Embedding Individual Records using Generative AI" with Jing Ouyang, Chengyu Cui, Bo Meng, and Zhiwei Xu. Selected as top 3 teams to present at IMPS 2024 and ranked top 1 after the presentation.
2024 IMS Hannan Graduate Student Travel Award, Institute of Mathematical Statistics
2024 Student Paper Award, Statistical Learning and Data Science Section, American Statistical Association
''A general latent embedding approach for modeling high-dimensional hyperlinks'' with Gongjun Xu and Ji Zhu
2022 Best Poster Presentation Award, UMichSML
''Supervised homogeneity fusion: a combinatorial approach'' with Wen Wang, Ziwei Zhu, Ling Zhou, and Peter X.K. Song
2021-2022 Outstanding First Year Ph.D. Student, Department of Statistics, University of Michigan