Changing composition of SARS-CoV-2 lineages and rise of Delta variant in England
Swapnil Mishra
Assistant Professor of Machine Learning and Public Health
I primarily work at intersection of public health, machine learning and Bayesian modelling.
Charles Whittaker
Sir Henry Wellcome Postdoctoral Fellow
My work involves modelling infectious disease transmission dynamics.
Adam Howes
PhD student
I am interested in Bayesian statistics, with applications in global health and biosecurity.
Xenia Miscouridou
Lecturer
I develop statistical machine learning methods to solve scientific questions with impact in real life.
Oliver Ratmann
Reader in Statistics and Machine Learning for Public Good
I develop bespoke statistical methods for public good. My group and I are particularly interested in novel Bayesian methods that harness information in viral deep sequence data, mobile phone mobility data, and time-resolved patient data to characterise the spread of infectious diseases, and to guide public health interventions.
Elizaveta Semenova
Lecturer in Biostatistics, Computational Epidemiology and Machine Learning
I work at the intersection of Bayesian inference, spatial statistics and epidemiology.
Samir Bhatt
Professor of Machine Learning, Statistics and Public Health
I focus on mathematical, statistical and computer science tools to answer questions about human health.
Seth Flaxman
Associate Professor
My research is on scalable methods and flexible models for spatiotemporal statistics and Bayesian machine learning, applied to public policy and social science.