Daniel Phillips
Statistical Modeller
I joined OVG in January 2026, where I will be working on methods to estimate correlates of protection for typhoid, paratyphoid and non-typhoidal salmonella.
My research interests include joint modelling of longitudinal and time-to-event data, correlates of protection, multiple imputation and Bayesian modelling.
I submitted my DPhil (PhD) in Statistics at the University of Oxford in 2026. I developed a method to estimate correlates of protection for COVID-19, using a joint model to estimate antibody decay and vaccine efficacy waning.
Before my DPhil I worked at OVG as a statistician on the COVID-19 vaccine trials. I previously completed a Master's degree in Mathematics and Statistics from the University of Oxford, graduating in 2020.
Recent publications
Improved estimates of COVID-19 correlates of protection, antibody decay and vaccine efficacy waning: a joint modelling approach
Preprint
Phillips DJ. et al, (2024)
Multi-omics analysis reveals COVID-19 vaccine induced attenuation of inflammatory responses during breakthrough disease.
Journal article
Drury RE. et al, (2024), Nat Commun, 15
Correlates of protection against symptomatic and asymptomatic SARS-CoV-2 infection
Journal article
Feng S. et al, (2021), Nature Medicine
Efficacy of ChAdOx1 nCoV-19 (AZD1222) vaccine against SARS-CoV-2 lineages circulating in Brazil
Journal article
Clemens SAC. et al, (2021), Nature Communications, 12
Correlates of protection against symptomatic and asymptomatic SARS-CoV-2 infection.
Journal article
Feng S. et al, (2021), Nat Med, 27, 2032 - 2040

