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Young Joon Lee

Email yj.lee@chu.ac.kr
Website youngjoon-lee.com
Address 38 Halladaehak-ro, Jeju-si, Jeju-do, 63092, S. Korea
Last Updated September 14, 2024

Education

  • Mar 2015 - Feb 2019
    Ph.D. in Finance
    Yonsei University, Seoul, Korea
    • Thesis: Deciphering Monetary Policy with Text Mining: An Automated Polarity Classification Approach
  • Mar 2007 - Aug 2010
    M.A. in Economics
    Yonsei University, Seoul, Korea
    • Specialization: Financial Engineering
  • Mar 1996 - Feb 2001
    B.S. in Industrial Engineering & Computer Science
    Yonsei University, Seoul, Korea

Experience

  • Jan 2024 - present
    Lead Investigator
    Jeju RIS Office for High-Intelligent Service
    • Lead efforts to integrate AI curriculum in Jeju educational institutions
    • Develop AI deployment strategies suitable for Jeju's cultural and economic context
  • Aug 2023 - present
    Chief Innovation Officer
    Cheju Halla University, Jeju, Korea
    • Oversee university AI and emerging technology research initiatives
    • Lead AI research connecting theoretical frameworks with industry applications
    • Set up a knowledge exchange platform for AI research
  • Mar 2022 - present
    Head of Research
    Natural Language Research Center, Cheju Halla University, Jeju, Korea
    • Lead development of AI-driven NLP models for financial applications
    • Oversee creation of AI-powered virtual physician for healthcare delivery
    • Develop AI technologies in robotic art and visual media, combining AI with creative expression
  • Feb 2021 - present
    Assistant Professor
    Artificial Intelligence Engineering, Cheju Halla University, Jeju, Korea
    • Deliver AI engineering curriculum covering NLP, MLOps, Robotics, and Operating Systems
    • Guide and mentor student research projects in AI applications
  • Mar 2019 - Sep 2020
    Visiting Scholar
    Precourt Institute for Energy, Stanford University, Stanford, CA, USA
    • Led a project using ML and NLP for ESG data analysis and investment strategies
    • Applied advanced technological methods to financial analysis to understand ESG factors in investment
    • Contributed to sustainable finance and technology research related to climate-resilient economy
  • Sep 2018 - Aug 2021
    Researcher
    Yonsei Business Research Institute, Yonsei University, Seoul, Korea
  • Oct 2014 - Jan 2017
    Senior Quantitative Analyst
    Gian Research, Seoul, Korea
    • Developed risk models and portfolio tools for equity and bond investments
    • Consulted on pension fund management systems and asset management processes
    • Created fixed-income risk model and quantitative equity rating system
  • Jul 2006 - Sep 2014
    Head of Quantitative Strategy
    Hyundai Securities, Seoul, Korea
    • Researched asset allocation strategies for MOLIT Housing Fund
    • Presented investment strategies at industry forums
    • Designed and implemented quantitative factor investing strategies
    • Consulted and tested low-volatility strategies in ETF construction
    • Developed earnings valuation models and pair trading systems
  • Nov 2001 - Oct 2005
    Head of Research and Development
    FnGuide Inc., Seoul, Korea
    • Led R&D initiatives across business and product lines
    • Implemented database systems and financial research solutions
    • Consulted on custom index management and equity management systems

Organizations

  • Jan 2024 - present
    Lead Investigator
    Jeju RIS Office for High-Intelligent Service
    • Lead efforts to integrate AI curriculum in Jeju educational institutions
    • Develop AI deployment strategies suitable for Jeju's cultural and economic context
  • Mar 2022 - present
    Head of Research
    Natural Language Research Center, Cheju Halla University, Jeju, Korea
    • Lead development of AI-driven NLP models for financial applications
    • Oversee creation of AI-powered virtual physician for healthcare delivery
    • Develop AI technologies in robotic art and visual media, combining AI with creative expression
  • Jan 2022 - present
    Committee Member
    Aju Research Institute of Corporate Management, Seoul, Korea
    • Assess and report on the Environmental, Social, and Governance (ESG) performance of target investment companies, providing evaluations for sustainable and responsible investing
    • Contribute to creating a management environment supporting sustainable business growth by integrating financial and non-financial aspects in corporate assessments

Research Projects

  • Apr 2024 - present
    Traffic Optimization Platform for Jeju Traffic Safety
    Cheju Halla University, Jeju, Korea
    • Lead project to enhance Jeju's transportation infrastructure using data-driven urban planning and AI applications in traffic management
    • Analyze traffic patterns and signal timing at key intersections in Jeju
    • Develop real-time traffic network data update systems
    • Create and validate traffic flow simulation models
    • Evaluate the effectiveness of AI-driven signal optimization strategies
  • Jul 2023 - Feb 2024
    Multi-Object Detection and Robotic Drawing with Multiple Camera Sensors
    Cheju Halla University, Jeju, Korea
    • Developed methods integrating multi-object detection technologies with AI and robotic drawing in digital art
  • May 2023 - Feb 2024
    The Bank of Korea Knowledge Partnership Program with Cambodia
    Cheju Halla University, Jeju, Korea
    • Analyzed Bank of Korea's communication strategies
    • Proposed communication strategies for Cambodia's NBC
    • Used machine learning-based text mining for policy analysis
  • Mar 2023 - Sep 2023
    Dissecting Corporate Reputation Risk in News Media: An Aspect-Based Sentiment Analysis Approach
    Cheju Halla University, Jeju, Korea
    • Used aspect-based sentiment analysis techniques to analyze corporate and CEO reputations in news media
  • May 2022 - Apr 2023
    Analyzing the Value and Bias in ESG Information: An Innovative Approach Using NLP
    Aju Research Institute of Corporate Management, Seoul, Korea
    • Developed NLP model to evaluate ESG information from various media sources
    • Assessed the relationship between ESG information and stock price movements
    • Identified biases in media coverage of ESG aspects
  • Jan 2023 - Feb 2023
    AI-Based Style Transfer for Digital Art
    Cheju Halla University, Jeju, Korea
    • Developed an AI platform for style transfer in digital art
  • Jul 2022 - Dec 2022
    An AI-Based Text-to-Image Generation System for Enhancing Artistic Expression
    Cheju Halla University, Jeju, Korea
    • Created an AI system for Korean text-to-image transformation in digital art
  • Feb 2021 - Feb 2022
    Development of a Pathology Database for an Internet Hospital Platform
    Cheju Halla University, Jeju, Korea
    • Led extraction and processing of pathology data for NLP applications
    • Developed pathBERT, NER, and RE models for medical data analysis
    • Created Knowledge Graph and QA model
  • Mar 2021 - Apr 2022
    ML-based ESG Ratings Model
    Aju Research Institute of Corporate Management, Seoul, Korea
    • Developed machine learning model for ESG ratings
    • Used NLP and big data analytics for ESG performance evaluation
  • Mar 2019 - Sep 2020
    Translating Data into Insights
    Precourt Institute for Energy, Stanford University, Stanford, CA, USA
    • Explored technologies for ESG data analysis
    • Applied machine learning and NLP techniques for insights from ESG data
  • Jan 2018 - Feb 2019
    eKoNLPy: Korean NLP Python Library for Economic Analysis
    Yonsei University, Seoul, Korea
    • Developed eKoNLPy, a Korean NLP Python library for economic analysis
    • Enhanced Mecab tagger from KoNLPy to handle economic terms, financial institutions, and company names
    • Added sentiment analysis features for interpreting monetary policy statements
  • Mar 2018 - Sep 2018
    Evaluating the Effectiveness of the BOK Communication using Text Mining
    The Bank of Korea, Seoul, Korea
    • Evaluated Bank of Korea communication effectiveness using text mining techniques
  • Jun 2017 - Nov 2017
    Information Extraction and Summarization System using Big Data and AI
    Sogang University, Seoul, Korea
    • Developed system for information extraction and summarization
    • Used AI and big data techniques for financial industry applications

Publications

  • Peer-reviewed Journal Publication
    • Looking back and looking forward: A scientometric analysis of the evolution of corporate sustainability research over 47 years, Soh Young In, Young Joon Lee, and Robert G. Eccles, Corporate Social Responsibility and Environmental Management, 2023
    • A Study on Responsible Investment Strategies with ESG Rating Change, Young Joon Lee, Yun Sik Kang, and Bohyun Yoon, Asia-Pacific Journal of Business, 2022
    • Text Mining for Economic Analysis, Soohyon Kim, Young Joon Lee, Jhinyoung Shin, and Ki Young Park, Journal of Korean Economic Analysis, 2020
    • Deciphering Monetary Policy Board Minutes with Text Mining: The Case of South Korea, Young Joon Lee, Soohyon Kim, and Ki Young Park, Korean Economic Review, 2019
    • Interpreting the Minutes of the Monetary Policy Board through Topic modeling and Sentiment Analysis, Young Joon Lee and Bohyun Yoon, Journal of the Korean Data Analysis Society, 2019
  • Working Papers
    • Measuring Monetary Policy Surprises Using Text Mining: The Case of Korea, Young Joon Lee, Soohyon Kim, and Ki Young Park, Bank of Korea WP, 2019

Certifications

  • Oct 2014
    Chartered Alternative Investment Analyst
    CAIA Association
    • Credential ID: 10683
    • Knowledge in alternative investments, including hedge funds, private equity, real estate, and commodities
  • Sep 2006
    Chartered Financial Analyst
    CFA Institute
    • Credential ID: 348641
    • Proficiency in financial analysis, portfolio management, and ethics
  • Aug 2006
    Certified Research Analyst
    Korea Financial Investment Association
    • Credential ID: 6606001314
    • Skills in investment research, including financial analysis, research methodologies, and ethics
  • May 2006
    Data Architecture Professional
    Korea Database Agency
    • Credential ID: DAP-06003
    • Knowledge in data architecture, including data modeling, database design, and data governance