Broadly, my research interests lie in probability and its role in the mathematical foundations of data science. My current work focuses on interacting particle systems and dynamical optimal transport, spanning mathematical analysis and applications in machine learning.
Currently I have two specific projects that I intensively work on.
- Limit theorems for hetergeneous queueing systems
- Neural solver for Wasserstein geodesic or Schrödinger bridge
Publications & Preprints
Chen, Y. H., Liu, H. (2026). Neural solver for Wasserstein Geodesics and Optimal Transport Dynamics. Journal of Scientific Computing, 108(2), 39. [ arXiv/Journal ].
Chen, Y.-H., Ghosh, A., Wu, R. Limit theorems for heterogeneous graphon JSQ(d) model. Near Completion.
Thorn, S., Chao, A., Georgiev, K.B., Müller, J., Bässler, C., Campbell, J.L., Castro, J., Chen, Y.-H., et al. (2020). Estimating retention benchmarks for salvage logging to protect biodiversity. Nature Communications, 11, 4243. [Journal]
Thorn, S., Chao, A., Bernhardt-Römermann, M., Chen, Y.-H., et al. (2020). Rare species, functional groups, and evolutionary lineages drive successional trajectories in disturbed forests. Ecology, 101(3), e02949. [Journal]
Georgiev, K.B., Chao, A., Castro, J., Chen, Y.-H., et al. (2020). Salvage logging changes the taxonomic, phylogenetic and functional successional trajectories of forest bird communities. Journal of Applied Ecology, 57(6), 1103-1112. [Journal]
Presentations
Neural Solver for Wasserstein Geodesics and Optimal Transport Dynamics
- SIAM Central States Section Annual Meeting (Oct 2025), Fayetteville, AR — Contributed Talk (Travel Award Recipient)
- Great Lakes Section of SIAM (Sep 2025), Chicago, IL — Mini-session Talk
Limit Theorems for Heterogeneous Graphon JSQ(d) Model
- INFORMS Annual Meeting (Oct 2024), Seattle, WA — Invited Talk
- Analysis and Probability Seminar (Oct 2024), Iowa State University — Seminar Talk