Fellow

Fanny is a postdoctoral researcher in mathematical epidemiology at the Mathematical Institute, University of Oxford, where she works on highly pathogenic avian influenza in Great Britain. Her research draws on stochastic modelling, Bayesian inference, and computational statistics to guide decision-making during outbreak response and to inform animal and public health policy. Fanny completed her PhD in computational mathematics at Stockholm University, and previously worked at the Karolinska Institute and at the European Centre for Disease Prevention and Control. 

Zixuan is a postdoctoral researcher in Artificial Intelligence for Collective Intelligence Hub. His research focuses on spatial and spatiotemporal methods for infectious disease modelling, forecasting, nowcasting, anomaly detection, and public health decision support. He is particularly interested in using machine learning and epidemiological models to understand how outbreaks spread across locations, recover underlying spatial structure from epidemic data, and support real-time preparedness and response.

Emilie is a postdoctoral researcher in the Pathogen Dynamics Unit at the University of Cambridge. Her research focuses on developing mathematical and statistical models to understand the drivers of arboviral transmission, assess future epidemic potential, and evaluate the impact of interventions. She is particularly interested in understanding the role of immunity, climate and behaviour on outbreak dynamics, and her current work involves modelling vaccine and Wolbachia-based strategies for dengue control.

Thom Rawson is a senior researcher at the Leverhulme Centre for Demographic Science, University of Oxford, where he leads a research agenda on how demographic change reshapes the spread of disease and the subsequent changing demands of health services. During the COVID-19 pandemic Thom worked in Imperial College London's real-time COVID-19 modelling team, providing regular projections to SPI-M-O and supporting the government response, for which he received a Modelling and Data Support Award.

Katharine Sherratt is a research fellow at the London School of Hygiene and Tropical Medicine. Her research is on real time analysis and modelling during public health crises with a particular focus on rapid evidence synthesis and methods for evaluating the quality and impact of modelling work. She is particularly interested in developing and evaluating collaborative “team science” approaches to modelling work during infectious disease outbreaks. Previously Katharine worked at the Wellcome trust before training in epidemiology.

Joe Hilton is a research fellow in mathematical modelling at the Manchester Centre for Health Economics (MCHE) within the University of Manchester, with a background in infectious disease epidemiology. He is interested in the role of population heterogeneity in different aspects of public health, ranging from household-level patterns of viral transmission to risk-stratified screening and treatment programs for non-communicable diseases.

Alin is a Senior Research Associate at Lancaster University in MARS (Mathematics & AI for Real-world Systems). As part of the MARS Health theme, his research focuses on integrating deep learning and generative modelling into Bayesian inference methods for stochastic infectious disease models. 

Sangeeta Bhatia is a research fellow at the Department of Infectious Disease Epidemiology, Imperial College London. The focus of her research is using data to generate evidence relevant to public health policy. She is particularly interested in the policy questions that arise during infectious disease outbreaks, and a large part of her research has focused on these. The unifying theme across her varied projects is an interest in identifying and addressing evidence gaps so that public health decisions can be informed by the best available evidence.

Daniel Pan is an NIHR academic clinical lecturer at the University of Leicester and an honorary specialist registrar in infectious diseases and general internal medicine at University Hospitals of Leicester NHS Trust. His research focuses on respiratory-virus transmission and the development of clinically useful measures of individual infectiousness. He combines prospective clinical studies, laboratory sampling and epidemiological analysis to investigate how viral kinetics in the respiratory tract and exhaled breath relate to onward transmission.