Jon Zink
Research Data Scientist
Mountain View, California, United States
Summary
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Top SchoolJon Zink is a Senior Data Scientist and astrophysics PhD who turns noisy, large-scale time-series into scientific discovery and production-grade systems. Over seven years he has built autonomous pipelines in Python, C++ and Bash and novel statistical models—discovering 372 planets from ∼200,000 stars, resolving a decades-old formation mystery, and shipping open-source tools adopted by multiple groups. At Caltech and UCLA he combined Bayesian hierarchical models, Gaussian processes, and Poisson point-process expansions to improve signal recovery and population inference by orders of magnitude. Now at Google, he applies this blend of research-grade rigor and engineering at scale, uniquely pairing published academic methods with production automation. An uncommon strength is his ability to both derive new likelihoods and implement them into fast, MCMC-enabled forward models that run in real research and operational environments.
7 years of coding experience
5 years of employment as a software developer
University of California, Los AngelesProgramming languages (1)
Github contributions (5)
jonzink/ExoMult
Nov 2018 - Jan 2019
Contributions:59 commits, 54 pushes, 4 branches in 2 months
jonzink/EDI-Vetter
Apr 2019 - Jul 2021
Contributions:1 release, 16 commits, 15 pushes in 2 years 3 months
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