Vincent Jeanselme



Enrichment Student

Cohort year


Partner Institution


Vincent is a PhD student at the MRC Biostatistics Unit at the University of Cambridge. His research interest lies in developing machine learning models for medical data with a focus on inequalities in medical care access and delivery. His PhD work explores how the interaction between patients and the healthcare system might harm the application of machine learning models in real-world settings. Prior to his doctoral studies, Vincent received an engineering degree in computer science and a masters degrees in machine learning from the Ecole Nationale Supérieure d’Informatique et de Mathématiques Appliquées de Grenoble. Then, he was invited as a research analyst at Carnegie Mellon University where he developed machine learning models with a focus on medical applications such as hypotension and haemorrhage detection.

Research interests

In medicine, the complex interaction between patients and the healthcare system is transmuted into digital information. As such, the pattern and timing of observed measurements may contain information about the underlying health status of an individual that informs disease evolution. Vincent’s research aims to model this medical interaction when developing machine learning algorithms. Studying this observational process, leveraging it, and understanding its impact on the generalizability and fairness of medical models is essential to expand the current research of machine learning in healthcare.