CV

Contact Information

Name Youngeun Nam
Professional Title Postdoctoral Fellow
Email youngeun.nam@kaist.ac.kr
Location 27 King's College Cir, Toronto, Ontario M5S 1A1

Professional Summary

An irreplaceable researcher driven by data-centric learning systems that stay reliable under real-world constraints

Experience

  • 2026 - present

    Toronto, Canada

    Postdoctoral Fellow
    University of Toronto (OptiMaL Lab)
    Working on data-centric machine learning for real-world problems.
  • 2026 - 2026

    Daejeon, Korea

    Postdoctoral Researcher
    KAIST Data Mining Lab
    Conducted research on data-centric machine learning, focusing on improving data quality and reliability.
  • 2025 - 2025

    Seoul, Korea

    Research Intern
    LG AI Research (Data Intelligence Lab)
    Conducted research on AI-driven financial data modeling.
    • Supported time-series forecasting using structured and unstructured financial data
  • 2018 - 2019

    Seoul, Korea

    Data Analyst
    FitTogether Inc.
    Contributed to launching a soccer data analytics web service based on wearable EPTS data and the OhCoach analytics platform.
    • Produced user manuals and supported field operations at the 2018 K League U17/U18 Championship
    • Built crawling modules for K League K1/K2, R League, and ACL competition data
    • Implemented foundational analytics workflows in Python
  • 2017 - 2017

    Seoul, Korea

    Software Engineer
    Hyundai AutoEver
    Worked in the IT Jobs Finance Team (Hyundai Card, Capital, Commercial) and contributed to enterprise platform development.
    • Developed features for a blockchain platform construction and service-challenge implementation project
    • Collaborated with cross-functional teams to deliver production-ready modules

Education

  • 2022 - 2026

    Daejeon, Korea

    Ph.D.
    Korea Advanced Institute of Science and Technology (KAIST)
    Computer Science
  • 2020 - 2022

    Daejeon, Korea

    M.S.
    Korea Advanced Institute of Science and Technology (KAIST)
    Industrial and Systems Engineering (Graduate School of Data Science)
  • 2013 - 2017

    Pohang, Korea

    B.S.
    Pohang University of Science and Technology (POSTECH)
    Industrial and Management Engineering
    • Cum Laude

Awards

  • 2025
    Outstanding Reviewer (Top 10%)
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining(February)

    Recognized as an outstanding reviewer (top 10%).

  • 2025
    Outstanding Reviewer (Top 10%)
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining(August)

    Recognized as an outstanding reviewer (top 10%).

  • 2024
    Excellence in Character Scholarship
    Excellence in Character Scholarship

    Scholarship award ($700).

  • 2024
    Young-Han Kim Global Leader Scholarship
    Young-Han Kim Global Leader Scholarship

    Scholarship award ($2,800).

  • 2023
    Outstanding Teaching Assistant Award
    School of Computing, KAIST

    Outstanding Teaching Assistant Award (Spring 2023).

  • 2023
    AAAI Conference on Artificial Intelligence Scholarship
    The Association for the Advancement of Artificial Intelligence

    Scholarship award ($500) for AAAI 2023.

  • 2021
    Scholarship
    Department of Industrial and Systems Engineering, KAIST

    Department scholarship award ($700).

  • 2016
    FIELD Silver Award
    Future Industrial Engineering Leaders and Dreamers Camp (FIELD)

    Silver Award at the Future Industrial Engineering Leaders and Dreamers Camp (FIELD).

Interests

Data Mining: Data Quality Issues for Deep Learning, Data-Centric AI, Mobility and Stream Data Mining, Deep Learning-Based Big Data Analysis, Large-Scale Distributed Deep Learning, Agentic AI, Time Series

References

  • Professor Eldan Cohen

    Professor at Mechanical and Industrial Engineering Department, University of Toronto, leading Optimization and Machine Learning Lab.

  • Professor Jae-Gil Lee

    Professor at School of Computing, Korea Advanced Institute of Science and Technology (KAIST), leading Data Mining Lab.