Wiley Morgan is a Senior Data Scientist with a PhD in Solid State Physics and over a decade of experience applying physics-driven machine learning to real-world problems. Currently at Happy Health (Hall Labs), he builds production-grade analytics for at-home medical data and is developing a universal ML approach for materials discovery through sister companies Medic Life and Tracy. He combines deep domain expertise in condensed matter physics with hands-on software development in Python and Fortran, enabling robust model design, simulation, and deployment. Wiley’s background spans academic research at Brigham Young University and practical data engineering roles, giving him a rare ability to translate complex physical intuition into scalable data products. He’s equally comfortable prototyping novel ML architectures as he is maintaining reliable, production pipelines for regulated health applications.
11 years of coding experience
13 years of employment as a software developer
Engineering Physics, Physics, Math, Engineering, Engineering Physics, Physics, Math, Engineering at University of Alaska Anchorage
Doctor of Philosophy (Ph.D.), Solid State Physics, Doctor of Philosophy (Ph.D.), Solid State Physics at Brigham Young University
Contributions:2 PRs, 54 pushes in 3 years 5 months
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