Donghyuk Shin is an associate professor at KAIST, where he contributes to research at the intersection of machine learning and information systems within the College of Business, School of Management Engineering. He brings eight years of combined research and industry experience, including ML Scientist roles at AWS and a prior tenure as Assistant Professor at Arizona State University’s W. P. Carey School of Business. His research interests span machine learning, deep learning, data mining, recommender systems, forecasting, and information systems. He earned a PhD in Computer Science from The University of Texas at Austin, under the guidance of Inderjit S. Dhillon. Based in Seoul, South Korea, he leverages a global perspective from academia and industry to advance AI-driven decision making in business contexts.
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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