Recent Activity
Preprint · medRxiv
Uncertainty Aware Decision Support with Computationally Expensive Simulation Models
A data-driven workflow combining Bayesian calibration, sensitivity screening, and surrogate models for uncertainty-aware policy analysis — demonstrated on the INFORM-HIV agent-based model of HIV transmission in Chicago.
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Editor · Special Edition
Modelling the Impact of Human Behavior on Infectious Disease Epidemiology
Co-edited with Romulus Breban. Frontiers special edition bringing together computational and behavioral modeling approaches to disease dynamics.
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Published · Frontiers in Epidemiology
Modeling the Disruptive Impact of the COVID-19 Pandemic on Nurses' Supply and Wages
A dynamic labor supply model showing how pandemic-era work burden and wage adjustments reshaped the nursing workforce. Published 2026.
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Preprint · arXiv
Generating Public Health Responses using Survey-Augmented Large Language Models
COMPASS platform research: longitudinal survey data + LLM clustering to generate synthetic population health responses at scale.
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