Shaun Truelove

Associate Research Professor

Baltimore, Maryland, United States
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Summary

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Senior
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Top School
Shaun Truelove is an Associate Research Professor at Johns Hopkins Bloomberg School of Public Health with eight years of focused experience in infectious disease epidemiology, modeling, and vaccine-preventable disease research. He combines strong quantitative skills in R and SAS with deep field experience—having led regional influenza and respiratory surveillance networks in the Eastern Mediterranean and Egypt for CDC-affiliated programs. His work bridges rigorous biostatistical analysis and practical public health surveillance, informing policy and outbreak response. Trained with a PhD in Infectious Disease Epidemiology from Johns Hopkins and an MPH from UW, he is equally comfortable designing models and managing multi-site surveillance systems. An often-overlooked strength is his track record in building operational data systems and reporting pipelines that translate complex surveillance data into actionable public health guidance.
code8 years of coding experience
job6 years of employment as a software developer
bookB.S. Biology, B.S. Biology at University of Wisconsin-Madison
bookDoctor of Philosophy (PhD) Epidemiology - Infectious Disease, Doctor of Philosophy (PhD) Epidemiology - Infectious Disease at Johns Hopkins School of Public Health
bookMaster's Public Health (MPH), Master's Public Health (MPH) at UW School of Medicine and Public Health
languagesEnglish, Spanish, Arabic
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Github Skills (25)

scenarios9
python9
standardized9
bootstrapping9
forecasting9
modeling9
forecast9
forecasts8
machine-learning8
visualization8
data-science8
meta-analysis7
data-access7
github-pages6
analytics6

Programming languages (5)

RMakefileHTMLJupyter NotebookPython

Github contributions (5)

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HopkinsIDD/covidImportation

Feb 2020 - Sep 2020

Contributions:1 release, 88 commits, 3 PRs in 6 months
COVID-19 Scenario Modeling Hub
Contributions:53 pushes in 1 year 10 months
modelingscenarioagent-based-modelingagent-based-simulation
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