Regular biography
Fanny Bergstrom is a Research Fellow at the Mathematical Institute, University of Oxford, within the Department of Mathematics. Her research interests are currently not specified in available sources. She is affiliated with the Mathematical Biology research group and is based at the Andrew Wiles Building, Radcliffe Observatory Quarter, Oxford. Her contact details are not publicly listed, and her professional profile can be accessed via the provided website.
Scholar-generated biography
Fanny Bergström is a Postdoctoral researcher at the University of Oxford, specializing in statistical modeling and data analysis. Her research focuses on applying Bayesian methods and machine learning to epidemiological and oncological problems. She has published work on Bayesian nowcasting for pandemic fatalities, survival prediction in lymphoma patients, and the impact of the COVID-19 pandemic on lymphoma incidence and survival. Her studies also address identifiability in epidemic models and counterfactual analysis of vaccination impact. Bergström's work bridges statistical methodology with real-world health outcomes, emphasizing the integration of leading indicators and counterfactual frameworks in public health research.