About me

I am a postdoctoral researcher at the reAIM lab at Columbia University, where I work with Prof. Shalmali Joshi at the intersection of machine learning, healthcare, and decision making. My research focuses on developing and evaluating machine learning models to support clinical decision-making, with a focus on reducing disparities in healthcare access and delivery.

My PhD thesis, under the supervision of Prof. Jessica Barrett and Prof. Brian Tom at the University of Cambridge, investigated how the interaction between patients and the healthcare system harms the use of machine learning models in real-world settings.

Prior to my doctoral studies, I received an engineering degree in computer science and a master’s degree in machine learning from the Ecole Nationale Supérieure d’Informatique et de Mathématiques Appliquées de Grenoble. I also worked as a research analyst at the AutonLab at Carnegie Mellon University where I developed machine learning models with a focus on medical applications such as hypotension prediction and haemorrhage detection.

Contact me at: vincent DOT jeanselme AT gmail DOT com