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Myounggu Lee (이명구) | Assistant Professor | Data Scientist
E-mail: myounggulee@konkuk.ac.kr [Google Scholar] [Home]
Hello! My name is Myounggu Lee, and I am currently an Assistant Professor in Management Information Systems at the School of Business, Konkuk University. Previously, I served as a lecturer at the School of Business Administration, University of Seoul. I hold a Ph.D. in Business and Technology Management (Concentration: Quantitative Marketing) from KAIST (Korea Advanced Institute of Science and Technology). Before pursuing my doctorate, I worked for approximately five years as a data analyst at firms such as Kearney, Deloitte, and Samsung Global Research.
Konkuk University / 건국대학교 경영대학 경영학과
School of Business,
Department of Business Administration,
120 Neungdong-ro, Gwangjin-gu, Seoul 05029, South Korea
Areas of Expertise
Currently conducting research on digital marketing utilizing generative AI
Professional consulting experience in IT strategy and the TMT (Technology, Media, and Telecommunication) sector
Extensive advisory experience for startups through business analytics
Education
Korea Advanced Institute of Science and Technology (KAIST), College of Business, South Korea
Ph.D. in Business and Technology Management / 기술경영(세부 전공: 계량마케팅) 박사 (Mar 2020 - August 2023)
M.S. in Management Engineering / 경영공학(세부 전공: 계량마케팅) 석사 (Feb 2013 - Feb 2015)
Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea
B.E. in Mechanical Engineering / 기계공학 학사, concentration in Numerical Analysis (Feb 2007 - Feb 2013)
Seoul Science High School
Research Interests & Skills
Research Interests: Applications of generative AI in business, Multimodal AI, Big data analytics, Digital marketing and retail media, AI transformation, Innovation strategies for mobile platforms, AI-driven information systems innovation
Methodologies: Agent-based Modeling, Computer vision, Text mining, Choice and demand modeling, Econometric techniques, Bayesian estimation, Randomized Controlled Trials (RCT), A/B testing
- Machine Learning (AI): Large Language Models (LLMs), Deep learning, Random forests, Gradient boosting algorithms, Dimensionality reduction, Collaborative filtering, Topic modeling, Latent Dirichlet Allocation (LDA), Explainable AI (XAI)
Programming Languages: Python, R, STATA, SPSS, MATLAB, MySQL
Service
Editorial Service
대한경영학회 편집위원
Peer Review
Electronic Commerce Research, Journal of Business Research, Asia Pacific Journal of Information Systems, 경영학연구, 한국서비스경영학회지, 2023 AMA Summer Academic Conference, KrAIS Summer Workshop 2023, 2024, 2025Membership
한국경영정보학회 종신회원
Professional Experience
Tech. Advisor, Witz.ai, 2023
Lecturer, University of Seoul, 2023
Business Analyst, Kearney, 2018
Quantitative Analyst, Deloitte Anjin LLC, 2016-2018
RA, Samsung Global Research, 2015-2016
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