Curriculum Vitae

Education

• Dissertation: Computational Social Science: Applications to Real-World Housing Issues and Human Behavior Studies Through Data-Driven Approaches
• Advisor: Dr. Dongwon Lee, Professor of Information Sciences and Technology

Experience

Professional

• Have led a project on representation engineering for large language models — eliciting persona vectors and leveraging them to steer LLM responses based on vector orientation.

• Led a project predicting U.S. public opinion shifts with LLMs to assess how faithfully they simulate human behavior over time.
• Built a computer-vision and spatiotemporal pipeline to identify homeless tents in crowd-sourced street-view images and forecast future trends.
• Conducted research on eviction trends using machine learning and geospatial analysis.
• Completed a social-media study on user behavior and multiple self-presentations.

• Developed a look-alike model to predict audiences most likely to click specific advertisements.
• Combined Spy and Bootstrap Sampling with AdaBoost to efficiently identify high-propensity audiences.

• Contributed to Prof. Amanda Geller's study on racial disparities in use-of-force across 11 U.S. police departments.
• Visualized the research results published in the final manuscript.

• Analyzed country-level economic and social indicators and published annual country reports.
• Studied the Knowledge Sharing Program (KSP) Index quantifying project performance capability of partner countries.
• Advised SDG localization strategies across 15 Korean local governments through surveys and interviews.

• Assisted research on small and medium enterprise (SME) policies in Korea and Hungary.

• Monitored and evaluated a child-education program and a sexual and reproductive health program (FGAE) in the Oromia region.
• Interviewed beneficiaries and assessed attitudinal changes toward reproductive health.
• Coordinated short-term volunteer activities in Ethiopia for Korean college students.

Teaching

• CYBER 451: Network Security (Fall 2025)
• IST 230: Discrete Mathematics (Spring 2025)
• IST 210: Organization of Data (Spring 2022)
• DS 200: Introduction to Data Science (Fall 2021)

Publications

1. Wooyong Jung, Sola Kim, Dongwook Kim, Andre Sihombing, Maryam Tabar, and Dongwon Lee. "From Crowdsourced Data to Policy Design: Monitoring and Forecasting Homeless Tents." EPJ Data Science. 15(32), 2026.
2. Wooyong Jung, Sola Kim, Dongwook Kim, Maryam Tabar, and Dongwon Lee. "A New Lens on Homelessness: Daily Tent Monitoring with 311 Calls and Street Images." 18th International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), 2025.
3. Wooyong Jung, Maryam Tabar, and Dongwon Lee. "Hotspots of Eviction: Guiding Dual-Track Policy Intervention with Spatial Analysis." 2024 IEEE International Conference on Big Data (BigData).
4. Wooyong Jung, Nishant Asati, Lucy Phuong Doan, Thai Le, Aiping Xiong, and Dongwon Lee. "The Strange Case of Jekyll and Hyde: Analysis of r/ToastMe and r/RoastMe Users on Reddit." Proceedings of the 18th International AAAI Conference on Web and Social Media (ICWSM), 2024.
5. Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores, and Dongwon Lee. "WARNER: Weakly-Supervised Neural Network to Identify Eviction Filing Hotspots in the Absence of Court Records." Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM), 2022.
6. Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores, and Dongwon Lee. "Forecasting the Number of Tenants At-Risk of Formal Eviction: A Machine Learning Approach to Inform Public Policy." Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI), 2022.
7. Wonkyu Shin, Wooyong Jung, and Jisun Yi. "Governance Matters More than Development Constraints for Growth in Sub-Saharan African Countries." International Development Cooperation Review 11(2): 55–71, 2019.
8. Wooyong Jung and Yoon C. Cho. "Who Remains Conservative?" Korea Observer 50(1): 135–161, 2019.
9. Song Chang Hong, Wooyong Jung, and Gang I Kim. "Chapter 7. Human Capital." KDI Research Paper, Sharing Knowledge Sharing the Future: 264–330, 2019.

In Progress

1. "Steering Political Reasoning in Large Language Models through Layer-Specific Internal Weight Intervention."

Conferences & Workshops

Awards & Scholarships

• Project: The UNified Model — Predicting Education Outcomes for Displaced Children in Data-Scarce Contexts

Skills

• ExpertiseStatistical Modeling, Machine Learning, Spatiotemporal Analysis, Bayesian Inference, LLMs, Representation Engineering
• LanguagesPython, R, Stan, SQL
• PythonPyTorch, GPyTorch, TensorFlow, SciPy, Scikit-learn, Pandas, GeoPandas, NumPy
• RTidyverse (dplyr, ggplot2, tidyr, stringr, tibble), RStan

References