Ryan Young

Principal Machine Learning Engineer
at Clairity

Ryan Young is an accomplished machine learning and data science professional with extensive experience across various industries. As the Principal Machine Learning Engineer at Clairity, Inc. since October 2024, Ryan previously served as an ML Scientist at PreemptiveAI, contributing to the development of a foundation model for real-time health outcome predictions via biomedical signals. Ryan's background includes significant roles at the Allen Institute for AI, Change Healthcare, and Microsoft, where expertise in statistical analysis, Bayesian modeling, and machine learning was applied to critical projects, including FDA approval processes and optimization strategies for web browsers. Academic roles include serving as an Adjunct Professor at North Seattle College and a Research Scientist at both the Seattle Children's Research Institute and the University of Colorado Boulder. Ryan holds multiple degrees in Applied Mathematics and Engineering Physics from the University of Colorado Boulder.

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Seattle, United States

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