Description
Paul first studied theoretical physics, and moved to Data-Science after his Ph.D. He worked at SNCF on predictive maintenance and natural language processing use cases. He is now part of Hillo's Data-Science team, working mainly on predictive model error anticipation and novel personalized real time therapeutic recommendations tools.
