Paul Soulé

AI for Health by Artefact

Presentation

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.

This speaker will talk about

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10:25 am - 10:37 am

🇬🇧 Error anticipation of blood glucose predictions for people with diabetes

Modeling the diabetes mellitus system is extremely complex in nature: it is dynamic, non-linear, interactive, and patient-specific. Mastering it allows to simulate...

Senior Data Scientist

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