Ph.D. in policy analysis, Pardee RAND Graduate School; M.Phil. in policy analysis, Pardee RAND Graduate School; M.S. in production engineering, UNISINOS - Universidade do Vale do Rio dos Sinos, Brazil; B.S. in production engineering, UNISINOS - Universidade do Vale do Rio dos Sinos, Brazil
Pedro Nascimento de Lima is an associate engineer at the RAND Corporation. His research leverages simulation modeling, high-performance computing, and Decision Making Under Deep Uncertainty methods to inform health policy decision-analytic problems.
Prior to joining Pardee RAND, he was a lecturer at UNISINOS, where he taught simulation modeling and other quantitative courses. Both his undergraduate and master’s dissertations, focusing on wicked problems and decision under deep uncertainty, have received the Best Brazilian Dissertation in Production Engineering Prize from ABEPRO.
He has a B.S. and an M.S. in production engineering from UNISINOS University in Brazil, and a Ph.D. in policy analysis from Pardee RAND Graduate School.
Nowak, S. A., Nascimento de Lima, P., & Vardavas, R, "Optimal non-pharmaceutical pandemic response strategies depend critically on time horizons and costs," Scientific Reports, 2023
Nascimento de Lima, P., van den Puttelaar, R., Hahn, A. I., Harlass, M., Collier, N., Ozik, J., . . . Rutter, C. M., "Projected long-termeffects of colorectal cancer screening disruptions following the COVID-19 pandemic," eLife, 2023
Pedro Nascimento de Lima, Robert Lempert, Raffaele Vardavas, Lawrence Baker, Jeanne Ringel, Carolyn M. Rutter, Jonathan Ozik, Nicholson Collier, "Reopening California: Seeking robust, non-Dominated COVID-19 exit strategies," PLoS ONE, 2021
Pedro Nascimento de Lima, Raffaele Vardavas, Lawrence Baker, Jeanne S. Ringel, Robert J. Lempert, Carolyn M. Rutter, Jonathan Ozik, Reopening Under Uncertainty: Stress-Testing California's COVID-19 Exit Strategy, RAND Corporation (PE-PEA1080-1), 2021
Carolyn Rutter, Pedro Nascimento de Lima, Jeffrey K. Lee, Jonathan Ozik, "Too Good to Be True? Evaluation of Colonoscopy Sensitivity Assumptions Used in Policy Models," Cancer Epidemiology, Biomarkers & Prevention, 2021 (forthcoming)
Raffaele Vardavas, Aaron Strong, Jennifer Bouey, Jonathan Welburn, Pedro Nascimento de Lima, Lawrence Baker, Keren Zhu, Michelle Priest, Lynn Hu, Jeanne S. Ringel, The Health and Economic Impacts of Nonpharmaceutical Interventions to Address COVID-19: A Decision Support Tool for State and Local Policymakers, RAND Corporation (TL-TLA173-1), 2020
