Camille is a first year PhD student on the AI4health CDT program. He obtained his Medical Degree from Université de Paris and specialised in public health. He also graduated with a MSc in Applied Mathematics from Université de Paris and a Master of Public Health from Université Paris-Saclay. His professional experience includes clinical research, epidemiology, bioinformatics and data science in university hospitals (CHU Henri Mondor, European Hospital Georges Pompidou) and in the industry (Lilly, IQVIA).
Camille's main research focuses on using reinforcement learning and data from wearables to deliver individualised behaviour modifiers in order to improve cardiovascular health among users.