My research focuses on improving decision-making under uncertainty through optimization methods and algorithms, with applications to complex systems such as energy and infrastructure. If you are a William & Mary student interested in conducting research with me, please feel free to reach out!

Power Systems Operations — Simulation Modeling 

• D. Cho*, H. Ha*, Y. Wu (2026). Simulation-Based Stress Testing of Reserve Policies for Climate Resilience. To appear in the 2026 Winter Simulation Conference. 
• N.-H. Nguyen-Hoang*, F. Zhao, Y. Wu (2026). Assessing the Reliability of Demand Response Procurement under Participation Uncertainty. To appear in the 2026 Winter Simulation Conference. 
• J. Horn, Y. Wu, A. Khodabakhsh, E. Nikolova, and E. Pountourakis (2020). The Long-Term Cost of Energy Generation. Proceedings of the 11th ACM International Conference on Future Energy (e-energy'19), https://dl.acm.org/doi/10.1145/3396851.3397685. 

Power Systems Operations — Game-Theoretic Modeling

• A. Stoltz, Y. Wu (2026). A Randomized Control Benchmark Mechanism for Demand Response. To appear in the 65th IEEE Conference on Decision and Control (CDC). 
• Y. Wu, A. Khodabakhsh, B. Li, E. Nikolova, and E. Pountourakis (2024). Eliciting Truthful Reports with Partial Signals in Repeated Games. Theoretical Computer Science, 988, 114371, https://doi.org/10.1016/j.tcs.2023.114371. 

Prophet Inequality  

• Y. Feng, B. Li, H. Li, X. Wu, Y. Wu (2025). IID Prophet Inequality with a Single Data Point. Artificial Intelligence, 341, 104296, https://doi.org/10.1016/j.artint.2025.104296. 

• B. Li, X. Wu, Y. Wu (2023). Prophet Inequality on IID Distributions: Beating 1-1/e with a Single Query. Proceedings of the 19th Conference on Web and Internet Economics (WINE'23), https://arxiv.org/pdf/2205.05519. 

Bayesian Analysis and Applications

• Y. Wu, A. Sarkar (2024). BMRMM: An R Package for Bayesian Markov (Renewal) Mixed Models. The R Journal 16(1), 192-211, https://journal.r-project.org/articles/RJ-2024-011/. 

• Y. Wu, E.D. Jarvis, A. Sarkar (2022). Bayesian Semiparametric Markov Renewal Mixed Models for Vocalization Syntax. Biostatistics 25(3) 648-665, https://doi.org/10.1093/biostatistics/kxac050.