Shihao Wu
Department of Statistics, University of Michigan, Ann Arbor
Email: wshihao (at) umich (dot) edu
436 West Hall, 1085 S University Ave, Ann Arbor, MI, 48109
Department of Statistics, University of Michigan, Ann Arbor
Email: wshihao (at) umich (dot) edu
436 West Hall, 1085 S University Ave, Ann Arbor, MI, 48109
About Me
Hi! I am a fifth-year PhD student in Statistics at the University of Michigan, jointly supervised by Professor Ji Zhu and Professor Gongjun Xu. Prior to that, I received my Bachelor's degree in Data Science from Fudan University in 2021.
I am interested in and working on statistical problems that emerge from the need to analyze large-scale, complex-structured datasets. My research topics include (hyper)graph network analysis, latent space models, and high-dimensional statistics.
Education
Ph.D. in Statistics, University of Michigan, 2021 - present
Sc.B. in Data Science, Fudan University, 2017 - 2021
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 Chengyu Cui, Bo Meng, Jing Ouyang, and Zhiwei Xu. Selected as top 3 teams to present at IMPS 2024 and ranked top 1 after the presentation. Team Lead: Shihao Wu; Presenter: Jing Ouyang
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