Minsuk Shin
Senior Applied Scientist at Gauss Labs
Cupertino, California, United States
Summary
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Senior🎓
Top SchoolMinsuk Shin is a Senior Applied Scientist at Gauss Labs with a decade of experience building predictive, interpretable ML models for semiconductor manufacturing. His work blends Bayesian model selection and scalable uncertainty quantification to make deep learning robust under high noise and limited data regimes. Previously a tenure-track assistant professor in statistics, he brings academic rigor to production problems and a track record of translating research methods into deployable solutions. Based in Cupertino, he pairs a PhD from Texas A&M with practical startup experience, and is known among colleagues as a statistics nerd, Bayesian practitioner, and amateur soccer player.
10 years of coding experience
Bachelor's degree, Statatistics, Bachelor's degree, Statatistics at Yonsei University 연세대학교Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Texas A&M University
Korean, EnglishGithub contributions (5)
cran/BayesS5
Jan 2017 - Mar 2020
Contributions:5 commits in 3 years 2 months
minsuk000/BIVS
Jun 2021 - Jul 2021
Contributions:4 pushes, 1 branch in 1 month
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