Yongjae Lee, Ph.D.

Associate Professor,

Department of Industrial Engineering, Artificial Intelligence Graduate School, Ulsan National Institute of Science and Technology (UNIST)

Office: Bld. 112 Rm 301-7 E-mail: [email protected] Tel: +82-52-217-3118 Google Scholar, Facebook, LinkedIn

Associate Professor, Department of Industrial Engineering, UNIST, Korea, 2024 to Present
Associate Professor, Artificial Intelligence Graduate School, UNIST, Korea, 2024 to Present
Assistant Professor, Department of Industrial Engineering, UNIST, Korea, 2018 to 2024
BK Assistant Professor, Department of Transdisciplinary Studies, Seoul National University, Korea, 2017 to 2018
Post-doctoral Researcher, KAIST Center for Wealth Management Technologies, Korea, 2016 to 2017

Other academic positions and services

Journals
- Editorial Advisory Board Member, The Journal of Financial Data Science, 2020 to Present
- Guest Editor, Special Issue on Statistical and Machine Learning for Investor Modelling, The Journal of Behavioral Finance, 2023 to 2024
Conference Organizing Committee
- Workshop Chair, The 5th International Conference on AI in Finance (ICAIF’24), New York, US, November 2024
Workshop Organizing Committee
- Financial AI @ ICLR 2025, Singapore, April 2025
- AI for Social Impact @ AAAI-25, Philadelphia, USA, March 2025
- RecSys in Finance @ IJCAI-24, Jeju, Republic of Korea, August 2024
- ML for Investor Modelling @ ICAIF’23, New York, USA, November 2023
Competitions
- Organizing Committee, The 1st, 2nd, 3rd, 4th UNIST-KAIST-POSTECH Data Science Competition
Academic society
- Executive Director and Chair of Financial AI Committee, The Korean Association of Financial Engineering (한국금융공학회), 2023 to present

Visiting positions

Visiting Researcher, Department of Operations Research and Financial Engineering, Princeton University, 2014 (Advisor: Professors John M. Mulvey and Frank J. Fabozzi)
Visiting Researcher, Department of Operations Research and Financial Engineering, Princeton University, 2012 (Advisor: Professors John M. Mulvey and Frank J. Fabozzi)

Ph.D. in Industrial & Systems Engineering, KAIST, 2016 *Thesis Title: Demystifying Diversification Strategies by using Portfolio Optimization Techniques Advisor: Professor Woo Chang Kim