Yong-jun Shin
Staff Data Scientist
Eugene, Oregon, United States
Summary
👤
Senior🎓
Top SchoolYong-jun Shin is a Staff Data Scientist with a decade of experience bridging medicine, electrical engineering, and AI to build adaptive, clinically-focused ML systems. He holds an MD and a PhD in Electrical Engineering, and his work spans academia, startups, and enterprise R&D—leading NSF-funded adaptive medicine projects and earning a Microsoft Azure Research Award for edge-enabled microscopy. As a founder of multiple ventures, he designed multi-agent generative AI platforms that make complex medical documents and lab reports accessible to patients, and he has proposed adaptive transformer architectures tailored for dynamic IoT and healthcare settings. At companies and as an independent researcher he has shipped production-ready pipelines using cloud-native patterns (AWS Step Functions, Lambda, Bedrock) and graph-based fraud and clinical-data solutions. Notably, he authored a practical book, Deep Learning 101 for Scientists and Engineers, introducing an Adaptive Transformer variant aimed at time-series and control applications. Based in Eugene, Oregon, he combines clinician intuition with deep technical fluency to translate biological complexity into robust, real-world AI systems.
10 years of coding experience
19 years of employment as a software developer
Doctor of Medicine (MD), Doctor of Medicine (MD) at Seoul National UniversityDoctor of Philosophy (PhD) Electrical Engineering - Microelectronics/Microfabrication, Doctor of Philosophy (PhD) Electrical Engineering - Microelectronics/Microfabrication at The University of Texas at Dallas
Github Skills (8)
azure-app-service8
azure-cosmos-db8
hl75
azure4
azure-cli3
graph1
gremlin1
cosmos1
Programming languages (5)
Github contributions (5)
yshin1209/Computational-Medicine
Feb 2019 - Jul 2021
Contributions:69 commits, 1 PR, 66 pushes in 2 years 5 months
yshin1209/miscellaneous
Jan 2016 - Feb 2022
Contributions:73 pushes, 1 branch in 6 years 2 months
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