Daniel Citron is a Senior Research Scientist with 11 years of experience building and applying computational simulation models to inform public health policy, currently developing pipelines for public-health datasets at NYU Langone. He specializes in infectious disease modeling—particularly HIV in sub-Saharan Africa and malaria—combining mathematical analysis with R, Python, and simulation software to translate country-specific data into actionable intervention strategies. His background spans academic research, industry collaborations (including Facebook’s Data for Good program), and hands-on work with policymakers to deploy models in real-world settings. Trained as a physicist (PhD, Cornell), he brings a quantitative, cross-disciplinary approach and a track record of turning complex mobility and network data into practical epidemiological insights.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at Cornell University
Bachelor of Arts (B.A.) with Honors, Physics, Bachelor of Arts (B.A.) with Honors, Physics at University of Chicago
Contributions:2 PRs, 8 pushes, 5 branches in 2 years 7 months
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