About me

I am Vincent Jeanselme, a postdoctoral researcher at the reAIM lab at Columbia University. My research interest lies in developing machine learning models and studying their impact on medical decisions with a focus on reducing inequalities in medical care access and delivery.

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

Before 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. Then, I 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