The Case For Sustaining Wastewater Surveillance Capabilities In The US
Argues that preserving the capabilities delivered by the National Wastewater Surveillance System beyond 2025 should be a public health priority.
Associate Engineer, RAND, and Professor of Policy Analysis, RAND School of Public Policy
He/Him
Pedro Nascimento de Lima is an associate engineer at RAND and a professor at the RAND School of Public Policy, specializing in computational methods to support better policy decisions. His research draws from a broad range of computational modeling paradigms, including statistical, mechanistic (agent-based, differential equations, microsimulation), and machine learning methods.
Nascimento de Lima's substantive research contributions span multiple policy domains. He was a key developer of the modeling framework underlying RAND's COVID-19 State Policy Tool - RAND's most-viewed research product of 2020. In health care policy, his work on cancer screening projected requirements for cost-effective blood-based screening tests and stress-tested cancer screening strategies that are followed by millions of Americans. His work also explored policies that could address America's major wealth disparities in the United States. He has also consistently contributed open-source computational tools to the research community and has a strong commitment to high-quality reproducible research.
His current research includes developing frameworks for systemic risk assessment, evaluating frontier AI model capabilities, improving causal inference methods, and assessing the effectiveness and cost-effectiveness of health interventions.
Nascimento de Lima earned his Ph.D. in policy analysis from the RAND School of Public Policy. He also holds a B.S. and an M.S. in production engineering from Universidade do Vale do Rio dos Sinos in Brazil.
Ph.D. in policy analysis, RAND School of Public Policy; M.Phil. in policy analysis, RAND School of Public Policy; 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
Portuguese