Curriculum Vitae

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Research Interest

Human-Computer Interaction

• Human-AI interaction and user experience design
• Impact of AI on productivity, engagement, and decision-making

Artificial Intelligence

• Natural Language Processing for insight mining
• AI-supported text understanding and human-AI collaboration

Data Science

• Data science for public good
• Understanding human behavior through data

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Education

• Ph.D. Candidate
  Seoul National University Mar. 2021 - Aug. 2026 (expected)
  • Dept. of Intelligence and Information @ Graduate School of Convergence Science and Technology
  • Human Centered Computing Laboratory (HCCLab)
  • Research Area: Natural Language Processing (NLP), Human Computer Interaction (HCI)
  • Thesis: Silent Nudges, Salient Shifts: How AI Subtly Shapes Human Perception and Judgment
  • Advisor: Prof. Bongwon Suh
• M.S. in Engineering
  Seoul National University Mar. 2014 - Feb. 2016
  • Dept. of Digital Contents and Information Studies @ GSCST
  • Human Centered Computing Laboratory (HCCLab)
  • Research Area: Human Computer Interaction (HCI), Social Computing, Data Science, Big Data
  • Thesis: A Quantitative Study on the Television Viewing Patterns Using People Meter Data
  • Advisor: Prof. Bongwon Suh
• B.S. in Information and Industrial Engineering
  Yonsei University Mar. 2007 - Feb. 2014
  • Advisor: Prof. Heejun Park

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Experience

• Data Scientist & UX Researcher
  pxd, Inc. Jan. 2019 - Dec. 2020
  • Implemented data-driven UX strategies through user behavior analysis of log data
  • Collaborated with clients including Hyundai Genesis, KB Securities, Market Kurly, and Lotte Capital
• Data Scientist
  Doongle, Inc. Sep. 2017 - Oct. 2018
  • Analyzed social data from company application
  • Built and deployed a user recommender system
  • Researched cross-demographic user interactions
• Data Scientist
  SBS (Seoul Broadcasting System) Project Mar. 2017 - May 2017
  • Analyzed Nielsen Media Research Korea datasets for viewership insights
  • Identified key viewers influencing TV ratings
  • Conducted root cause analysis on SBS news viewership decline
• Algorithm & Data Science Specialist
  Fount Co., Ltd. Mar. 2016 - Dec. 2016
  • Developed core engine for robo-advisor as part of task force
  • Contributed to Shinhan Card’s AI initiative
  • Built ‘NewsCloud’, a word cloud system for financial news visualization
• Research Assistant & Data Scientist
  LG Electronics Project Sep. 2015 - Feb. 2016
  • Developed stepper log parser for raw data processing
  • Identified correlations between variables during production line malfunctions
• Research Assistant
  Smart Grid Research Center Project Sep. 2014 - Jun. 2015
  • Analyzed datasets from Advanced Metering Infrastructure (AMI)
  • Performed data preprocessing and transformation for visualization
• Insurance Industry Team Intern
  Samsung Research Institute of Finance Dec. 2008 - Feb. 2009
  • Provided research support and contributed to strategic team meetings

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Honors & Awards

Awards

• Best Paper Award Candidate, ACL 2026

Honors

• Highest Honors, Fall 2013

Scholarships & Fellowships

• Merit-based Scholarships, 5 Semesters
• Voluntary Service Scholarships, 3 Semesters
• Brain Korea 21 Plus, Research Fellowship

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Selected Publications

1. Ryu, J., Kim, S., Eun, J., Kim, K., Oh, C., & Suh, B. (2026). Feeling Right vs. Being Right: How AI Sycophancy Affects Value-Laden Deliberation. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026).

2. Ryu, J., Kim, K., Kim, S., Eun, J., Oh, C., & Suh, B. (2026). Mine over Yours: How Authorship Biases Evaluation in Generative Information Retrieval. Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2026).

3. Ryu, J.*, Kim, K.*, Heo, D., Song, H., Oh, C., & Suh, B. (2025). Cinema Multiverse Lounge: Enhancing Film Appreciation via Multi-Agent Conversations. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI 2025).

4. Kim, K.*, Ryu, J.*, Jeon, H., & Suh, B. (2025). Blinded by Context: Unveiling the Halo Effect of MLLM in AI Hiring. Findings of the Association for Computational Linguistics: ACL 2025.

5. Kim, K.*, Ryu, J.*, Heo, D., Song, H., Oh, C., & Suh, B. (2025). Conversational Argument Search Under Selective Exposure: Strategies for Balanced Perspective Access. Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025).

6. Kim, K., Jeon, H., Ryu, J., & Suh, B. (2024). Will LLMs Sink or Swim? Exploring Decision-Making Under Pressure. Findings of the Association for Computational Linguistics: EMNLP 2024.

* denotes equal contribution.

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Technical Skills & Expertise

• Programming: Python R Go TypeScript SQL
• Frameworks & Tools: PyTorch HuggingFace Transformers LangChain vLLM Docker
• Platforms: AWS/GCP Langfuse
• Languages: Korean (Native), English (Intermediate), Japanese (Intermediate)

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Extracurricular Activity

• Member
  Young Engineers’ Honor Society (YEHS) Aug. 2011 - Present
  • Affiliate of the National Academy of Engineering of Korea (NAEK)
• Student Representative
  Industrial Engineering, Yonsei University Dec. 2011 - Dec. 2012
  • Reorganized department student council
  • Proposed extracurricular activities
• Sergeant
  55th Infantry Division, Republic of Korea Army Aug. 2009 - May. 2011
  • Mandatory military service in Korea

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References

Bongwon Suh, Professor, Graduate School of Convergence Science and Technology, Seoul National University, bongwon@snu.ac.kr