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.
Introduced agentic coding practices to the Pienaar lab for dashboards, data wrangling, and calibration scripting — with explicit guardrails to minimize hallucinations while accelerating analysis.
Agent-based modeling · ODE / SDE · PBPK · Mechanistic modeling · Model calibration & validation · Latin Hypercube Sampling · Partial rank correlation · A-measure for stochastic superiority
MATLAB · Java · Python · SimBiology · Repast Simphony · CompuCell3D · SLURM · HTCondor · GitHub · Bash · STATA