About Me
I am Tiandong Wang (王天栋), a Tenure-Track Associate Professor at the Shanghai Center for Mathematical Sciences (SCMS), Fudan University. I joined SCMS in September 2022 as a Young Investigator and was promoted to Tenure-Track Associate Professor in September 2025.
Prior to joining Fudan, I was a Tenure-Track Assistant Professor in the Department of Statistics at Texas A&M University (2019–2022). I received my Ph.D. in Operations Research from the School of Operations Research and Information Engineering at Cornell University in 2019, under the supervision of Prof. Sidney Resnick.
Research Focus
My research develops rigorous mathematical foundations and statistical methodologies for high-dimensional, heavy-tailed complex networks:
- Extreme Value Theory in Networks: Quantifying power laws, regular variation, and multivariate extremal dependence among hub nodes.
- Realistic Directed Network Dynamics: Modeling heterogeneous reciprocity and detecting structural changepoints in evolving systems.
- Heterogeneous Graphical Models: Jointly inferring community structures and sparse conditional dependency graphs.
Explore Research Overview & Figures »
Selected Representative Publications
- JMLR 2026 D. Shi, T. Wang, Z. Ying. Simultaneous identification of sparse structures and communities in heterogeneous graphical models. Journal of Machine Learning Research, 27(148): 1–63, 2026.
- SPA 2025 D. Cirkovic, T. Wang and D.B.H. Cline. Emergence of multivariate extremes in multilayer inhomogeneous random graphs. Stochastic Processes and their Applications, 190: 104762, 2025. [DOI]
- IEEE TNSE 2025 D. Cirkovic, T. Wang and X. Zhang. Likelihood-based inference for random networks with changepoints. IEEE Transactions on Network Science and Engineering, 13: 344–359, 2025. [DOI]
- JMLR 2024 D. Cirkovic, T. Wang. Modeling random networks with heterogeneous reciprocity. Journal of Machine Learning Research, 25(10): 1–40, 2024. [Link]
- SPA 2020 T. Wang and S.I. Resnick. Degree growth rates and index estimation in a directed preferential attachment model. Stochastic Processes and their Applications, 130(2): 878–906, 2020. [DOI]
Selected Honors & Awards
- 上海市科技进步二等奖 (Second Prize, Shanghai Science and Technology Progress Award), 2025
- 复旦大学卓学优秀人才 / Fudan University Outstanding Talent Program (Zhuo Xue), 2023
- 上海市领军人才（海外） / Shanghai Leading Talent (Overseas) Program (Ling Jun), 2022
- Elected Member, International Statistical Institute (ISI), since 2022
Useful Links & Community Seminars
- 🌐 One World Extremes Seminar
A global online seminar series on Extreme Value Theory, methodology, and applications. (Board Member & Organizer, 2025–2027) - 📊 Extreme Value Analysis (EVA) 2025
The premier international biennial conference on extreme value analysis, held at UNC Chapel Hill, USA. (Scientific Committee Member & Session Organizer) - 📦
wdnetR Package on CRAN
Software for network generation and assortativity analysis for weighted, directed networks with preferential attachment. - 🏛️ Shanghai Center for Mathematical Sciences (SCMS) • Fudan University
Prospective Students
I am always looking for motivated undergraduate, Master’s, and Ph.D. students with strong quantitative foundations in applied probability, mathematical statistics, or data science. If you are interested in working with me, please send an email with your CV and transcripts.
Contact Information
- Office: Room 533, Shanghai Center for Mathematical Sciences
- Address: Jiangwan Campus, Fudan University, No. 2005 Songhu Road, Shanghai, China 200438
- Email: td_wang@fudan.edu.cn