Erik Volz
Reader In Population Biology Of Infectious Diseases
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolErik Volz is a Reader in Population Biology of Infectious Diseases at Imperial College London with a decade of experience applying mathematical modeling, data analysis, and software development to public health challenges. His work bridges infectious disease dynamics, pathogen evolution, and complex network theory, translating theoretical insights into practical epidemiological tools. Having progressed from postdoc roles in the US to senior academic leadership in London, he combines rigorous quantitative methods with hands-on code to inform policy-relevant research. Colleagues value his ability to distill complex models into actionable public-health guidance, and he maintains active ties to both academic and computational communities. Notably, his profile reflects a career-long focus on integrating evolutionary thinking into epidemic modeling, an angle that often uncovers non-obvious drivers of outbreak behavior.
10 years of coding experience
Cornell University
Github Skills (38)
anova10
clock10
statistical-inference9
modeling8
pathogen8
x-plane8
scalable8
simulation8
r-package7
brackets7
statistics7
poster6
fitness6
markov-model5
explore5
Programming languages (9)
Github contributions (5)
emvolz-phylodynamics/ebola2014-practical
Mar 2016 - Mar 2018
Contributions:16 commits, 15 pushes, 1 branch in 2 years
emvolz-phylodynamics/variantAnalysis
Oct 2020 - Nov 2021
Contributions:2 reviews, 78 commits, 2 PRs in 1 year 1 month
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