Researcher

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.

Now at
KAIST and College of AI
Badges

Timeline

  1. 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”.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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

  1. Since 2024KAISTAssociate Professor, School of Management Engineering
  2. NowCollege of AIAdjunct Professor
  3. 2019–2024Arizona State UniversityAssistant Professor
  4. 2016–2019AmazonMachine learning scientist

Education

  1. 2017University of Texas at AustinPh.D. in computer science
  2. Sogang UniversityUndergraduate degree

Sources and credits

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  1. New professor's research predicts links between people on social networks | W. P. Carey News knowledge.wpcarey.asu.edu. Checked 21 October 2026.
  2. Donghyuk Shin - The Mathematics Genealogy Project mathgenealogy.org. Checked 21 October 2026.
  3. team | AIBA Lab aiba.kaist.ac.kr. Checked 21 October 2026.
  4. The download: What's up in the Department of Information Systems | W. P. Carey News news.wpcarey.asu.edu. Checked 21 October 2026.
  5. "Enhancing Social Media Analysis with Visual Data Analytics" by Donghyuk Shin, Shu He et al. aisel.aisnet.org. Checked 21 October 2026.
  6. Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach (MISQ 2020) | Gene Moo Lee, Ph.D. blogs.ubc.ca. Checked 21 October 2026.
  7. Learning Outside the Classroom During a Pandemic: Evidence from an Artificial Intelligence-Based Education App ideas.repec.org. Checked 21 October 2026.
  8. AIBA Lab aiba.kaist.ac.kr. Checked 21 October 2026.
  9. Faculty | AX aicollege.kaist.ac.kr. Checked 21 October 2026.
  10. Donghyuk Shin dshin32.github.io. Checked 21 October 2026.