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jchung02/README.md

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🧭 Research & Interests

  • Causal Inference and Discovery for reliable decision-making
  • Agentic AI and LLM-based systems
  • Human-centered AI and interactive data analysis

🖋️ Education

  • M.S. in Statistics, Korea University, Seoul, Korea (Expected 2027)
  • B.S. in Business Administration & Statistics, Korea University, 2026
  • Exchange Program, Copenhagen Business School, 2023–2024

📑 Publications

  • ORCA: ORchestrating Causal Agent

    • Joanie Hayoun Chung, Chaemyung Lim, Sumin Lee, Sungbin Lim
    • CHI 2026 Poster

  • Score-informed Neural Operator for Enhancing Ordering-based Causal Discovery

    • Jiyeon Kang, Songseong Kim, Chanhui Lee, Doyeong Hwang, Joanie Hayoun Chung, Yunkyung Ko, Sumin Lee, Sungwoong Kim, Sungbin Lim
    • NeurIPS 2025

📚 Tech Stack

Python | PyTorch | HuggingFace | PostgreSQL | Docker | LangGraph | Distributed Training

☀️ Contact

Pinned Loading

  1. KU-LIM-Lab/ORCA KU-LIM-Lab/ORCA Public

    Python 1 2

  2. finetuning-tutorial finetuning-tutorial Public

    Python 3

  3. KU-LIM-Lab/dowhy-deep KU-LIM-Lab/dowhy-deep Public

    Forked from py-why/dowhy

    DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

    Python 1 1

  4. lots_of_tools lots_of_tools Public

    Python 1

  5. lawreport lawreport Public

    Jupyter Notebook