Donghyuk Shin
Donghyuk Shin is an associate professor at KAIST's College of Business who studies how AI reshapes people, businesses and society. He completed a Ph.D. in computer science at the University of Texas at Austin in 2017, worked as a machine learning scientist at Amazon from 2016 to 2019, and joined Arizona State University as an assistant professor in 2019. His 2020 MIS Quarterly article applied deep learning to social media content, and his 2023 Management Science paper examined an AI-powered learning app during the COVID-19 pandemic. At KAIST, where he joined in 2024, he leads the AI & Business Analytics (AIBA) Lab, which studies the economics of AI and IT, AI methods for business problems, and digital platforms. He is also an adjunct professor in the College of AI's Department of AX (AI Transformation), where his core AI competencies include generative AI and multi-agent systems.
Timeline
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2017
A Ph.D. at UT Austin
After undergraduate and master's degrees at Sogang University in Seoul, he completes a Ph.D. in computer science at the University of Texas at Austin in 2017, advised by Inderjit Dhillon. His dissertation is titled “A Multi-Scale Framework for Graph Based Machine Learning Problems”.
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2016–2019
Machine learning scientist at Amazon
He is a machine learning scientist at Amazon in Seattle from 2016 to 2019. His role before academia is at Amazon Web Services.
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2019–2024
Assistant professor at Arizona State
He joins Arizona State University's information systems department as an assistant professor in 2019. His research there centers on machine learning, deep learning, business analytics, social media, recommender systems and online platforms.
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2020
Deep learning in MIS Quarterly
In 2020, MIS Quarterly publishes his article with Shu He, Gene Moo Lee, Andrew Whinston, Suleyman Cetintas and Kuang-Chih Lee, built on an industry collaboration with Yahoo! Research. It proposes a visual data analytics framework that uses deep learning and text mining to measure content features of social media posts, tested on a large Tumblr dataset.
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2023
An AI education app study
In 2023, Management Science publishes his paper with Ga Young Ko, Seigyoung Auh, Yeonjung Lee and Sang Pil Han on how students compensate for learning loss during the COVID-19 pandemic. It studies the use of an AI-powered learning app and finds that students in the outbreak's epicenter use it less at first, then more, on a more regular basis, and return to a curriculum pace comparable to other students.
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Since 2024
Associate professor at KAIST
In 2024, he joins KAIST as an associate professor in the College of Business, School of Management Engineering. He leads the AI & Business Analytics (AIBA) Lab, whose research areas are the economics of AI and IT, AI and machine learning for business applications, and digital platforms.
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As of October 2026
Adjunct professor in KAIST's AI college
He is an associate professor in KAIST's College of Business and an adjunct professor in the College of AI's Department of AX (AI Transformation). His research areas there are economics of AI, AI for business applications and digital platforms, with core AI competencies in generative AI, inverse design and multi-agent systems. He studies how AI reshapes people, businesses and society, and also develops AI models.
Career
- Since 2024KAISTAssociate Professor, School of Management Engineering
- NowCollege of AIAdjunct Professor
- 2019–2024Arizona State UniversityAssistant Professor
- 2016–2019AmazonMachine learning scientist
Education
- 2017University of Texas at AustinPh.D. in computer science
- Sogang UniversityUndergraduate degree
Sources and credits
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- New professor's research predicts links between people on social networks | W. P. Carey News
- Donghyuk Shin - The Mathematics Genealogy Project
- team | AIBA Lab
- The download: What's up in the Department of Information Systems | W. P. Carey News
- "Enhancing Social Media Analysis with Visual Data Analytics" by Donghyuk Shin, Shu He et al.
- Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach (MISQ 2020) | Gene Moo Lee, Ph.D.
- Learning Outside the Classroom During a Pandemic: Evidence from an Artificial Intelligence-Based Education App
- AIBA Lab
- Faculty | AX
- Donghyuk Shin

