Adam Howes
Independent Contractor at Centers for Disease Control and Prevention
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolAdam Howes is a Bayesian statistician and data scientist with eight years’ experience applying modern statistical machine learning to pandemic preparedness and biosecurity. He currently forecasts infectious disease outbreaks at the CDC and consults on biosecurity projects, bringing hands-on expertise in individual-based infectious disease modelling and fast deterministic Bayesian inference. His academic grounding (PhD work at Imperial College with visiting stints at Oxford, Waterloo and MIT Media Lab) underpins practical work on outbreak detection from metagenomic data and food insecurity mapping for the UN. Based in London, he combines rigorous quantitative methods with field-focused problem solving, often translating advanced probabilistic approaches into actionable public health insights.
8 years of coding experience
1 year of employment as a software developer
Visiting Graduate Student Modern Statistics and Statistical Machine Learning, Visiting Graduate Student Modern Statistics and Statistical Machine Learning at University of OxfordPhD Modern Statistics and Statistical Machine Learning, PhD Modern Statistics and Statistical Machine Learning at Imperial College LondonBSc Mathematics, BSc Mathematics at Durham UniversityMSc Statistics, MSc Statistics at University of Warwick
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (70)
r-package10
quantile-regression10
meta-analysis10
brms10
stan9
truncation9
scoring9
estimate9
glmmtmb9
gaussian9
distributions9
bayesian9
r8
forecast8
bayesian-inference8
Programming languages (9)
Github contributions (5)
athowes/areal-sim
Nov 2020 - Aug 2021
Contributions:157 pushes, 1 branch in 9 months
athowes/thesis
Sep 2023 - Aug 2025
Contributions:295 pushes, 4 comments, 14 issues in 1 year 11 months
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