Type
Publication
J. R. Soc. Interface
Elizaveta Semenova
Lecturer in Biostatistics, Computational Epidemiology and Machine Learning
I work at the intersection of Bayesian inference, spatial statistics and epidemiology.
Adam Howes
PhD student
I am interested in Bayesian statistics, with applications in global health and biosecurity.
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.
Swapnil Mishra
Assistant Professor of Machine Learning and Public Health
I primarily work at intersection of public health, machine learning and Bayesian modelling.
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.