Joshua Peek is Head of Data Science at the Space Telescope Science Institute and a 12-year veteran of astrophysical data research and engineering. He builds AI-driven systems that make large, diffuse-universe datasets more accessible and scientifically productive, bridging research-grade analysis with production data infrastructure. His career blends hands-on survey data processing and machine vision algorithm development with leadership—previously a Hubble Fellow and long-time project scientist—resulting in numerous refereed papers and extensive mentoring and outreach. Based in Baltimore, he leverages a PhD from UC Berkeley and a Harvard undergraduate background to translate complex astrophysics into operational data tools. Notably, he applies modern machine learning to questions about the origin and structure of the diffuse universe, turning observational complexity into reproducible science.
12 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD), Astrophysics, Doctor of Philosophy (PhD), Astrophysics at University of California, Berkeley
Bachelor's degree, Astronomy and Astrophysics, Bachelor's degree, Astronomy and Astrophysics at Harvard University
Contributions:96 pushes, 1 branch in 8 years 11 months
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