Pedro Nascimento de Lima, PhD

Researcher at RAND Corporation and Professor at RAND School of Public Policy

Modeling & Simulation

My methodological work in modeling and simulation develops and applies computational models to understand complex systems and evaluate policy interventions. I specialize in microsimulation models for disease natural history, agent-based models for social and economic dynamics, and epidemic models for infectious disease transmission. I have contributed to developing the CRC-SPIN colorectal cancer model, built COVID-19 transmission models incorporating behavioral adaptation, and created frameworks for high-performance computing and uncertainty quantification in large-scale simulations.

34 publications