Daniel Shea
Head Of Artificial Intelligence at Prahsys
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolDaniel Shea is a seasoned AI leader and machine learning engineer with a PhD in Materials Engineering focused on applying ML and AI to mathematical physics and materials science problems. Currently Head of Artificial Intelligence at Prahsys, he leads development of medical AI to empower clinicians, patients, and health systems toward patient-centric care. His career blends academia and industry, with research roles at GH Labs and the University of Washington and consulting work in renewable energy and healthcare AI solutions. He has a proven track record of turning complex data into actionable models, including ML pipelines for molecular simulations at NASA Langley and predictive analytics that helped secure $2M+ in funding for clients. Daniel's background spans Python-based ML stacks, physics-inspired modeling, and hands-on experimental work, underscoring a unique capability to translate theory into production-ready systems. Based in Seattle, he combines technical depth with cross-functional leadership to drive impactful, data-driven healthcare innovations.
10 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (PhD), Materials Engineering, Doctor of Philosophy (PhD), Materials Engineering at University of WashingtonB.S., Chemical Engineering, B.S., Chemical Engineering at Northeastern University
Github Skills (4)
computational-biology3
simulation2
docking2
molecular-simulation2
Programming languages (1)
Github contributions (5)
sheadan/LabDAQ-App
Aug 2016 - May 2021
Contributions:3 pushes, 1 branch in 4 years 10 months
sheadan/DeepGreen
Apr 2020 - Jun 2021
Contributions:63 commits, 2 pushes in 1 year 1 month
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