Postdoctoral Research Fellow
Lauric Ferrat is an applied mathematician with a background in the development of mathematical models of biological processes, and applications in medicine. He completed his engineer diploma at the National School for Statistics and Information Analysis in France, specialising in advanced statistical engineering. He has always been interested by health care; after an internship at the EHESP School of Public Health in France, he began to focus on machine learning techniques when he started working with Professor John Terry on his PhD project in analyses of mathematical model using statistical and machine learning tools.
In July 2018 He joined the University of Exeter Medical School as a postdoctoral research fellow, working on the prediction of type one diabetes in children using genetic, environmental and clinical risk factors. His main collaborator at RILD are Dr Richard Oram and Prof. Mike Weedon and he works in close collaboration with Profs Jonathan Fieldsend (University of Exeter), Kendra Vehik (University South Florida) and William Hagopian (Pacific Northwest Diabetes Research Institute).
- PhD Applied Mathematics – University of Exeter
- Engineer diploma - ENSAI
JDRF 2019-2021 Improved, cost effective prediction of type 1 diabetes in early life using combined prediction models (CI 380,760.47)
My research interests are in development and application of machine learning and statistical techniques with practical clinical use. I am particularly interested by survival modelling and optimization of cohort design.
- Improved, cost effective prediction of type 1 diabetes in early life using combined prediction models
- Prediction of cancer using routine blood samples