Papers

1. Parameter Estimation in Recurrent Tumor Evolution with Limited Carrying Capacity (with K. Leder, Z. Wang), 2025, preprint. arXiv
2. Limit theorems for the site frequency spectrum of neutral mutations in an exponentially growing population (with E.B. Gunnarsson, K. Leder), Stochastic Processes and their Applications, 2025. Journal arXiv
3. Parameter estimation from single patient, single time-point sequencing data of recurrent tumors (with K. Leder, R. Sun, Z. Wang), Journal of Mathematical Biology, 2024. Journal arXiv
4. A high-fidelity, machine-learning enhanced queueing network simulation model for hospital ultrasound operations (with Y. Pan, Z. Xu, J. Guang, X. Chen, J.G. Dai, C. Wang, X. Zhang, et al.), In Winter Simulation Conference (WSC), 2021. IEEE arXiv

Research In Progress

• Mathematical Modeling of MDSC-Mediated Immunosuppression in Glioblastoma under Radiotherapy
  Developing an ODE-based model of the glioblastoma tumor–immune microenvironment to study the role of myeloid-derived suppressor cells (MDSCs) under radiotherapy. The model, calibrated to clinical data, explores optimal RT dosing strategies and generates in-silico virtual clinical trials.
  Collaborators: Kevin Leder, Jasmine Foo, Lindsey Sloan, John Metzcar.
• Mathematical Modeling of CISH-Knockout T Cells and Immune-Checkpoint Inhibition in Cancer Therapy
  Constructing a population-dynamical model incorporating endogenous and infused CISH-knockout T cells, IL-2 dynamics, and tumor burden. The model evaluates competition over IL-2 and synergy with checkpoint blockade, predicting conditions for durable tumor eradication.
  Collaborators: Kevin Leder, Jasmine Foo, Emil Lou, Kamran Kaveh, Sarah Anderson.