Donghyuk Shin is an associate professor and machine learning researcher with nine years of experience bridging industry and academia across South Korea and the U.S. His work spans deep learning, data mining, recommender systems, forecasting, and information systems, with prior roles at AWS as a Machine Learning Scientist and faculty experience at Arizona State University's W. P. Carey School of Business. Trained as a PhD computer scientist at UT Austin under notable advisors, he combines rigorous research with practical deployment experience from internships and research positions at Amazon and Yahoo Research. Based in Seoul, he focuses on translating advanced ML methods into business-facing forecasting and recommendation solutions, and is known for integrating academic depth with real-world ML productization.
9 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at The University of Texas at Austin
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