Research team
Expertise
I develop quantitative models and computational workflows to generate decision-relevant evidence from immunological and clinical data, with a focus on immunology and infectious disease. My work bridges mechanistic modeling and biostatistics, combining within-host immune kinetics with population-level processes to study vaccine responses, immune heterogeneity, and disease dynamics. I build mechanistic and multi-scale models, including ODE-based dynamical systems and agent-based simulations, to analyze T-cell and antibody dynamics, viral transmission, and disease progression. I also apply pharmacometric approaches (nonlinear mixed-effects modeling) and PBPK casework to support exposure–response interpretation and translational questions. A major component of my research is end-to-end T-cell receptor (TCR) repertoire analysis, from raw sequencing preprocessing and QC to downstream repertoire statistics and integration with immune outcomes. My work is implemented through reproducible pipelines in R, Python, and MATLAB, supported by HPC/SLURM for large-scale simulation and automated reporting. I also develop interactive tools (including R Shiny dashboards), QC frameworks, and standardized reporting workflows to ensure traceability and reuse. I am actively preparing additional methods manuscripts and preprints on TCR repertoire analysis and pipeline development.