Agent-based prediction of how partially-functional exhausted CD8+ T cells contribute to short-term viral suppression in children with perinatal HIV. Calibrated to Indiana School of Medicine pediatric immune activation data.
Cellular ABM comparing Mtb infection dynamics in latently infected vs Mtb-naive individuals — capturing macrophage phagocytosis, granuloma formation, and immune activation over time. In collaboration with the Schlesinger lab at Texas Biomed.
Quantifying synergistic pathogen expansion during Mtb-HIV coinfection using multi-scale mechanistic models.
Repurposed a physiologically-based pharmacokinetic model in MATLAB to explore how delivery route alters bacterial burden inside the lung granuloma.
Applied stochastic differential equations to PBPK models to generate virtual patient populations capturing real-world clinical variability, benchmarked against ODE-based approaches.
Built mechanistic models manually; used AI to produce analysis scripts and graphs that translated simulation output into publication-ready figures and summaries.
Agent-based modeling · Virtual cell modeling · Mechanistic modeling · ODE / SDE · PBPK · Model calibration & validation · Sensitivity analysis · Uncertainty quantification · Latin Hypercube Sampling · Partial rank correlation coefficients · A-measure for stochastic superiority
MATLAB · Java · Python · SimBiology · Repast Simphony · CompuCell3D · SLURM · HTCondor · GitHub · Bash · STATA