Pedro De Lima
Full Engineer at RAND
United States
Summary
👤
Senior🎓
Top SchoolPedro De Lima is a decision scientist and computational modeler with a decade of experience applying microsimulation, agent-based modeling, and robust decision making to health policy challenges at RAND and Pardee RAND Graduate School. He builds high-performance simulation pipelines and R packages that have powered RAND's COVID-19 policy tools and forecasting work, and combines Bayesian methods, causal inference, and uncertainty quantification to inform cost-effectiveness and pandemic preparedness decisions. His background bridges academic research and production engineering—from HPC stress tests at Argonne to leading software and analytics teams earlier in his career—enabling both rigorous methods and reproducible tooling. Pedro’s work spans cancer prevention, biosurveillance, and pandemic policy, and he often translates complex model outputs into client-facing decision support under deep uncertainty.
10 years of coding experience
11 years of employment as a software developer
Mestrado, Engenharia de Produção, Mestrado, Engenharia de Produção at Universidade do Vale do Rio dos SinosDoctor of Philosophy - PhD, Policy Analysis, Doctor of Philosophy - PhD, Policy Analysis at Pardee RAND Graduate School
English
Stackoverflow
131reputation
2kreached
1answer
1question
Github Skills (26)
robotics10
racing10
autopilot9
rover9
perception9
autonomous-vehicles9
iot9
longitudinal-data9
r-package7
simulation7
causal-inference7
tinytex6
devtools6
r6
grammarly4
Programming languages (4)
Github contributions (5)
avaliabrasil/avalia-brasil
Feb 2016 - Jan 2020
Contributions:53 pushes, 1 branch, 46 comments in 4 years
pedroliman/oshcba
Jun 2017 - Aug 2018
Contributions:5 releases, 2 PRs, 162 pushes in 1 year 1 month
statisticsbiblioteca
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