Ellen Price is a computationally driven postdoctoral researcher at the University of Chicago with 12 years of experience applying advanced numerical methods and modern accelerator hardware to astrophysics problems. She holds a PhD from Harvard/CfA and a BS from Caltech, and has a track record of translating statistical and machine-learning techniques (e.g., KDEs and Gaussian mixture models) into improved signal extraction for challenging physical systems. Her background spans hands-on internships at national labs and NASA, open-source planet-search tooling, and undergraduate teaching and infrastructure roles, showing both deep technical skill and strong mentorship. Curious about cross-disciplinary applications, she’s keen to bring high-performance computing approaches honed on exoplanet and cosmic-ray problems to broader scientific and engineering domains.
11 years of coding experience
Doctor of Philosophy (Ph.D.), Astronomy and Astrophysics, Doctor of Philosophy (Ph.D.), Astronomy and Astrophysics at Harvard University
Bachelor of Science (B.S.), Astronomy and Astrophysics, Bachelor of Science (B.S.), Astronomy and Astrophysics at California Institute of Technology
International Baccalaureate Diploma, International Baccalaureate Diploma at Jefferson County International Baccalaureate School
Contributions:12 pushes, 1 branch in 6 years 11 months
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Ellen Price - 51 Peg B Postdoc at University of Chicago