People

• BS in Computer Science and BS in Mathematics from Carnegie Mellon University 

• MS in Computer Science at Dartmouth College 

• PhD in Quantitative Biomedical Sciences from Geisel School of Medicine at Dartmouth College 

• Assistant Professor, Department of Big Data Science 

(Graduate School)  

• Affiliated Assistant Professor, Interdisciplinary Program 

in Biomedical Data Science Convergence (Graduate School) 

• Affiliated Assistant Professor, Division of Big Data Science

• Adjunct Assistant Professor, Convergence Major in Smart Eco City, College of Science and Technology  

• Adjunct Assistant Professor, Department of Advanced Convergence Pharmaceutical Sciences, College of Pharmacy  

• Adjunct Professor, Institute of Statistics and Applied Mathematics, Anhui University of Finance and Economics

1. Kim, S., Lee, S., Jin, S., & Lee, J. W. (2025). AI Tools and Applications in Managing Immunological Disorders. In J. Chen (Ed.), AI-Assisted Computational Approaches for Immunological Disorders (pp. 39-62). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-9725-1.ch002  

2. Sangjin Kim & Jai Woo Lee (2025) Text as Data: A New Framework for Machine Learning and the Social Sciences, Technometrics, 67:2, 358-359, DOI: 10.1080/00401706.2025.2485656  (Q1 in Statistics & Probability in SCIE edition)  

3. SANGJIN KIM and JAI WOO LEE. (2024). Predicting Hypoxia and Estimating the Interactions of Ewe Metabolites Using Machine Learning Techniques. Journal of the Korean Society for Industrial and Applied Mathematics, 28(4), 226-242. https://doi.org/10.12941/jksiam.2024.28.226  

4. Donggeun Kim, Sangjin Kim, Juyong Ko, Jai Woo Lee; “A Big Data-Driven Business Data Analysis System: Applications of Artificial Intelligence Techniques in Problem Solving” The Korea Journal of BigData, 2023, vol.8, no.1, pp. 35-47. DOI: 10.36498/kbigdt.2023.8.1.35  

1. Juyong Ko, Juwon Kim, Dongha Kim, Hyeonjun Nam, and Jai Woo Lee. 2025. Applications of Data-Driven Approaches Using Artificial Intelligence Algorithms and Quantum Computing in Sustainability. In The Sixth edition of the International Conference on Digital Age Technological Advances for Sustainable Development (DATA 2025), May 07–09, 2025, Tangier, Morocco. ACM, New York, NY, USA, 8 pages. https://doi.org/10.1145/3747897.3747911 (Not Activated Yet)

2. JUYONG KO and JAI WOO LEE. (2024). Applications of Big Data and AI-Driven Technologies in High-Dimensional Data Analysis: Taiwanese Bankruptcy Prediction Using Machine Learning Models with Factor Analysis. Journal of the Korean Society for Industrial and Applied Mathematics, 28(4), 286-302. https://doi.org/10.12941/jksiam.2024.28.286  

3. Donggeun Kim, Sangjin Kim, Juyong Ko, Jai Woo Lee; “A Big Data-Driven Business Data Analysis System: Applications of Artificial Intelligence Techniques in Problem Solving” The Korea Journal of BigData, 2023, vol.8, no.1, pp. 35-47. DOI: 10.36498/kbigdt.2023.8.1.35  

1. Kim, D., & Lee, J. W. (2025). Predicting Absenteeism at Workplace Using Machine Learning and Network Analysis. SAGE Open, 15(2). https://doi.org/10.1177/21582440251336019 (Original work published 2025)  (Q1 in SOCIAL SCIENCES, INTERDISCIPLINARY in SSCI edition) 

2. Donggeun Kim, Sangjin Kim, Juyong Ko, Jai Woo Lee; “A Big Data-Driven Business Data Analysis System: Applications of Artificial Intelligence Techniques in Problem Solving” The Korea Journal of BigData, 2023, vol.8, no.1, pp. 35-47. DOI: 10.36498/kbigdt.2023.8.1.35