Michael Fanton is an experienced Staff AI Researcher at Aledade, Inc., with a strong background in data science and machine learning applied to healthcare. Previously, Michael served as a Senior Staff Data Scientist at Alife, focusing on AI-powered tools for IVF clinics, where Michael led machine learning initiatives utilizing EMR data and medical images. Michael's expertise extends from a role as a Postdoctoral Fellow at Shirley Ryan AbilityLab, conducting translational research on wearable sensors and machine learning for rehabilitation, to a Ph.D. in Mechanical Engineering from Stanford University, where research centered on biomechanics and the development of innovative injury prevention equipment. Early career experiences include positions at NASA Ames Research Center and various research roles at UC San Diego and Scripps Institution of Oceanography, contributing to robotics, mechanical design, and geological data analysis.
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