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Daniel Shea is a Research Engineer at GH Labs, where Daniel develops AI-powered solutions for healthcare in low and middle-income countries. Their experience includes work as a Graduate Research Assistant at the University of Washington focusing on machine learning and deep learning in physical systems. As a Machine Learning Intern at NASA Langley Research Center, Daniel applied algorithms to molecular-scale materials simulation data. Additionally, Daniel has experience in microfabrication research at the Wyss Institute for Biologically Inspired Engineering and bioassay research at Firefly Bioworks. Daniel holds a PhD in Materials Engineering from the University of Washington and a B.S. in Chemical Engineering from Northeastern University.