Stan Biryukov
Director Data Science
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolStan Biryukov is a Director of Data Science and applied AI/ML leader based in Seattle with nearly 15 years of experience translating advanced analytics and machine learning into measurable business impact across aviation, biotech, weather intelligence, and healthcare. He has built and led global teams to rapidly ship production ML products, scaled ML engineering functions at United and Alaska Airlines, and co-founded a stealth biotech to bridge research and product. His work blends high-impact academic research (published in The Lancet, Nature, NEJM) with pragmatic delivery, enabling partnerships and solutions that move from seminal science to operational systems. With an MBA from Wisconsin and an unusual background spanning pre-med studies to senior data science roles, he combines domain fluency in health and operational analytics with product-minded leadership.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS, Pre-Medicine/Pre-Medical Studies, Bachelor of Science - BS, Pre-Medicine/Pre-Medical Studies at University of WashingtonMaster of Business Administration - MBA, Master of Business Administration - MBA at Wisconsin School of Business
Github Skills (155)
annotations10
flask10
stochastic-processes10
posters10
poster10
semantic-segmentation10
gaussian-processes10
pytorch10
optical-flow10
gaussian10
graphviz10
imagenet9
architecture9
modular9
labeling9
Programming languages (8)
Github contributions (5)
stanbiryukov/sklearn-GLMM
Dec 2019 - Jan 2021
Contributions:14 commits, 35 pushes, 1 branch in 1 year
stanbiryukov/gribflow
Mar 2021 - Feb 2022
Access open data gribs at any requested time stamp by efficiently parsing and utilizing optical flow methods to advect relevant parameters via a FastAPI interface.
Contributions:90 commits, 10 PRs, 18 pushes in 10 months
parameterspythonopen-accessoptical-flowfastapi
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