Charlie Whittaker
Assistant Professor, Infectious Diseases & Vaccinology at MRC Centre for Global Infectious Disease Analysis
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolCharlie Whittaker is an infectious disease modeler and Assistant Professor at UC Berkeley who leads the Pandemic & Epidemic Threat Analytics Lab (PETAL) to translate computational epidemiology into actionable preparedness and response strategies. With a decade of experience spanning WHO field deployments, UKHSA rapid response work, and a Sir Henry Wellcome fellowship at the MRC Centre, he combines frontline outbreak analytics with methodological innovation in genomic, serological and epidemiological integration. His research has supported ministries of health across Latin America and focused on real-world surveillance design to mitigate pandemic and catastrophic biological risks. Trained at Cambridge and Imperial College (MSc, PhD in mathematical modelling), he is known for reconciling diverse data streams to characterise emerging viral threats, notably SARS-CoV-2 variants. Based in San Francisco, he bridges academic rigor and operational public health impact, pairing technical modelling with capacity-building in outbreak settings.
10 years of coding experience
PhD Mathematical Modelling of Infectious Diseases, PhD Mathematical Modelling of Infectious Diseases at Imperial College LondonBachelor of Arts (B.A.) Natural Sciences, Double First, Overall Mark 86/100, Bachelor of Arts (B.A.) Natural Sciences, Double First, Overall Mark 86/100 at University of Cambridge
Github Skills (48)
r-package10
transmission10
infectious-diseases9
deep-learning8
agent-based-modeling8
temporal7
r7
forecast6
react5
squire5
tricks4
machine-learning4
phylogenetic-trees4
python3
fits3
Programming languages (7)
Github contributions (5)
cwhittaker1000/stephenseasonality
Sep 2021 - Nov 2022
Contributions:146 commits, 63 pushes, 1 branch in 1 year 2 months
mrc-ide/apothecary
Jul 2020 - Mar 2021
Contributions:172 commits, 48 pushes in 8 months
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