Tech Talk: The Joys and Perils of Leveraging Mechanistic Models in Health ML | Emily Fox

Emily Fox, Distinguised Engineer at Apple and Professor at the University of Washington explores the hybrid approaches that combine the domain knowledge of mechanistic models with the flexibility and expressivity of machine learning methods. She explore these ideas through two use cases: Glucose forecasting in Type 1 diabetes and modeling the relationship between mobility and transmission in the COVID-19 pandemic.

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Linkedin: Women in Data Science (WiDS) at Stanford University
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