Peter Yoachim
LSST Staff Scientist at University of Washington
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolPeter Yoachim is an LSST Staff Scientist and professional astronomer with 13 years of post-college experience applying data science, Python, SQL, and machine learning to large-scale astronomical projects. He designs and implements production-grade tools for survey operations—most notably a Python scheduler that plans millions of observations over a decade and a predictive model for night and twilight sky brightness. His work routinely leverages national supercomputing facilities to simulate telescope calibration and to process multi-gigapixel imaging, blending numerical simulation with pragmatic data visualization. Based in Seattle, he brings a rare combination of deep astrophysics training (PhD, UW) and hands-on engineering for Big Data science pipelines, and maintains a public portfolio of technical projects that illustrate both research and software craftsmanship.
13 years of coding experience
8 years of employment as a software developer
PhD, Astrophysics, PhD, Astrophysics at University of WashingtonBA, Astrophysics, BA, Astrophysics at University of California, Berkeley
Stackoverflow
895reputation
92kreached
8answers
13questions
Github Skills (117)
python10
astronomy10
scientific-computing10
continuum10
core-library10
simulations10
orbital-mechanics10
scheduler10
astrology10
latex10
telescope10
planet10
science10
maf10
scipy10
Programming languages (11)
Github contributions (5)
yoachim/21_Scratch
Jan 2021 - May 2022
Contributions:147 pushes, 1 branch, 1 issue in 1 year 4 months
lsst/rubin_sim
May 2021 - Jan 2023
Scheduler, survey strategy analysis, and other simulation tools for Rubin Observatory.
Contributions:3 releases, 127 reviews, 661 commits in 1 year 9 months
pythonobservatoryschedulersimulationstrategy
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