George Dewey is a Postdoctoral Research Associate at Northeastern’s Network Science Institute with eight years of experience applying social network analysis and big data methods to infectious disease modeling. He earned his PhD and MPH from UCLA Fielding School of Public Health after a BA from the University of Chicago, blending rigorous epidemiologic training with computational skill. George’s work sits at the intersection of network theory and public health practice, translating complex contact patterns into actionable outbreak insights. Formerly affiliated with UCLA Epidemiology and active on GitHub, he brings a research-first mindset to building reproducible, data-driven tools for surveillance and intervention planning. Notably, he pairs theoretical modeling with pragmatic attention to scalable data pipelines, making his findings readily usable by public health stakeholders.
8 years of coding experience
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at UCLA Fielding School of Public Health
Bachelor of Arts (B.A.), Bachelor of Arts (B.A.) at University of Chicago
Contributions:13 PRs, 40 pushes, 5 branches in 9 days
virusproject-4dsinilewest
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.