About me

My research focuses on developing and evaluating machine learning models to support clinical decision-making.

I am currently a director of machine learning research at PathomIQ, working on leveraging AI for personalized medicine.

Prior to PathomiIQ, I was a postdoctoral researcher at the reAIM lab at Columbia University, where I worked with Prof. Shalmali Joshi at the intersection of machine learning, healthcare, and decision making. Before that, I was a visiting researcher at Mayo Clinic and 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.

I received my PhD from the University of Cambridge, where I investigated, under the supervision of Prof. Jessica Barrett and Prof. Brian Tom, how the interaction between patients and the healthcare system harms the use 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.

Contact me at: vincent DOT jeanselme AT gmail DOT com