John Giles
Senior Research Scientist at Gates Foundation
Seattle, Washington, United States
Summary
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Top SchoolJohn Giles is a senior research scientist and computational epidemiologist with eight years of experience building mathematical and Bayesian models to guide public health interventions. He specializes in integrating human mobility and diverse data streams into mechanistic, spatial disease-spread models and has applied this work across leading institutions including Johns Hopkins, IHME, and the Gates Foundation. Comfortable moving between rigorous statistical inference and policy-relevant modeling, he translates complex uncertainty into actionable insights for decision-makers. His background in quantitative ecology and a trajectory from biodiversity research to infectious disease modeling gives him a rare cross-disciplinary perspective on pathogen dynamics in real-world systems. Based in Seattle, he combines deep academic training with operational experience at high-impact global health organizations.
7 years of coding experience
19 years of employment as a software developer
University of KansasDoctor of Philosophy - PhD, Quantitative Ecology, Doctor of Philosophy - PhD, Quantitative Ecology at Griffith UniversityPostdoctoral Fellowship, Infectious Disease Epidemiology, Postdoctoral Fellowship, Infectious Disease Epidemiology at Johns Hopkins Bloomberg School of Public HealthMaster of Science - MS, Biology/Biological Sciences, General, Master of Science - MS, Biology/Biological Sciences, General at Northern Arizona University
Github Skills (25)
missing-data10
tidymodels10
variable-selection10
decomposition9
r-package9
nmf9
data-fitting9
sampling9
sample-size9
biodiversity9
meta-analysis9
estimate9
population-genetics9
mobility8
bayesian8
Programming languages (1)
Github contributions (5)
gilesjohnr/hmob
Jan 2019 - Aug 2020
Contributions:1 release, 85 pushes, 1 branch in 1 year 6 months
HopkinsIDD/IDSpatialStats
Jun 2018 - Aug 2021
Contributions:4 releases, 37 commits, 1 PR in 3 years 2 months
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