Education

Ph.D. in Computer Science, The University of Texas at Austin

Career

▶ Associate Professor, KAIST (Seoul, Korea), 2024~Present
College of Business, School of Management Engineering

▶ Assistant Professor, Arizona State University (Tempe, AZ), 2019~2024
W. P. Carey School of Business, Department of Information Systems

▶ Machine Learning Scientist, Amazon.com, Inc. (Seattle, WA), 2016~2019
Amazon Web Services, AWS Capacity Forecasting

Industry Advisory Activities

▶ POSCO Holdings Inc. (N.EX.T Hub, AI Lab), AI Advisory Council, 2024

Publications (patents, etc.)

▶ Journal

"Disinformation Spillover: Uncovering the Ripple Effect of Bot-Assisted Fake Social Engagement on Public Attention"
S. Lee, D. Shin, K. H. Kwon, S. P. Han, and S. K. Lee, MIS Quarterly, 2024

"Learning Outside the Classroom During a Pandemic: Evidence from an Artificial Intelligence-Based Education App"
G. Y. Ko, D. Shin, S. Auh, Y. Lee, and S. P. Han, Management Science, 2023

"Predicting Firm Market Performance using the Social Media Promoter Score"
S. Chung, D. Shin, and J. Park, Marketing Letters, 2022

"Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach"
D. Shin, S. He, G. M. Lee, A. B. Whinston, S. Cetintas, and K. Lee, MIS Quarterly, 2020



▶ For more details

Homepage: https://dshin32.github.io/research/
Google Scholar: https://scholar.google.com/citations?user=BuDfw00AAAAJ

Research Areas

Artificial Intelligence, Economics of AI and IT, AI/ML Applications, Digital Platforms

Special Topics: AI and ML for Data Science(BIZ811)