Curriculum vitae

Chanwoo Moon.

M.S. student and mobility-AI researcher combining transportation engineering, applied statistics, and multi-agent foundation models.

Education

KAIST

KAIST · M.S. in Mobility

Cho Chun Shik Graduate School of Mobility, TUPA Lab · Advisor: Prof. In-Hi Kim · Mar 2026–Feb 2028 (expected)

Yonsei University

Yonsei University · B.S. in Urban Planning & Engineering

Minor in Applied Statistics · GPA 3.78/4.30 · Mar 2020–Feb 2026

Research experience

M.S. Student Researcher · TUPA Lab, KAIST

Mar 2026–present

Designing city-scale LLM-agent simulations of travel behavior and cooperative world models for autonomous driving at signalized intersections.

Undergraduate Research Assistant · Yonsei University

Mar 2025–Feb 2026

Built an LLM-agent RP–SP simulator for individual-level demand prediction of autonomous shuttles and demand-responsive transit, with behavioral alignment and analogous-case retrieval.

AI Researcher / Data Analyst Intern · StellarVision

Dec 2024–Feb 2025

Trained object-detection models on satellite remote-sensing imagery and conducted spatial analysis for maritime-logistics applications.

Selected projects

  • 2026–

    Proposal CLAW AI

    Solo multi-agent pipeline for R&D proposal drafting and academic writing, including literature review, gap finding, and methodology ideation.

  • 2025

    Multimodal Multi-Agent Retail Analytics

    Team lead, 13th BigContest AI/Data Track · five-agent system over six urban datasets and street-view panoramas.

  • 2025

    Graph-of-Thought Prompt Optimization

    Upstage × Yonsei LLM Query Hackathon · GoT scaffold evaluated against CoT and ToT baselines.

  • 2025

    GraphRAG Multi-Agent Insurance Designer

    Upstage × Yonsei AGI Agent Hackathon · specialist underwriting, pricing, and explanation agents over a policy graph.

  • 2024

    Urban Hollowing-Out Analytics

    Team lead, 12th BigContest · analysis of night-time activity decline using mobility, foot-traffic, and commercial data.

Awards & honors

  • 2026.05

    Honorable Mention, DB Insurance Finance Contest (IFC)

    Issued by DB Insurance Co., Ltd.

  • 2026.02

    Grand Prize, ST–Yonsei Capstone Design

    Issued by Yonsei University RISE · Project: “Pre-Deployment Forecasting under Choice-Set Expansion with RP–SP Integration: Transfer of Latent Persona Mixtures with an LLM-Based Choice Kernel.”

  • 2026.01

    President's Award, Korean Society of Transportation

    Recognized as the top transportation graduate at the university level.

  • 2025.12

    President's Award, Korean Society of Transportation

    Yonsei University Graduation Project (Capstone Design) award.

  • 2025.12

    BEST Award, 13th BigContest AI/Data Track

    AI Agent category · Issued by the Korea Association for ICT Promotion (KAIT).

  • 2025.11

    Grand Prize, Yonsei LLM Query Hackathon

    Issued by Yonsei University College of AI, the SW-Centered University Project Group, and Upstage.

  • 2025.06

    Encouragement Award, Seongnam City Public Data Utilization Idea Contest

    Issued by Seongnam City.

  • 2025.04

    BEST Award, Yonsei AGI Agent Hackathon

    Issued by Yonsei University College of AI, the SW-Centered University Project Group, and Upstage.

  • 2025.02

    Encouragement Award, LH Data Analysis Competition

    Issued by Korea Land & Housing Corporation (LH) · Project: “Minimizing Vacancy Rates in Knowledge Industry Centers.”

  • 2024.12

    BEST Award, 12th BigContest Data Analysis Track

    Issued by the Korea Association for ICT Promotion (KAIT).

  • 2024

    Yonsei College of Engineering Academic Excellence Award

    Academic excellence recognition for Fall 2024.

Methods & tools

Programming & machine learning

  • Python
  • SQL
  • R
  • JavaScript
  • PyTorch
  • TensorFlow
  • scikit-learn
  • Pandas

LLMs & agents

  • LangChain
  • LangGraph
  • OpenCLAW
  • Fine-tuning
  • RAG / GraphRAG
  • VLMs
  • Multi-agent systems
  • CoT / ToT / GoT

Mobility & simulation

  • SUMO
  • EMME/4
  • QGIS
  • Travel demand modeling
  • Discrete choice
  • PPO
  • World models
  • Digital twins