CV

Contact Information

Name Yoonseok Yeom
Email yuemyoun@gmail.com

Experience

  • 2026 - present

    Seoul, South Korea

    AI Researcher / AI Engineer, Agentic AI Business Team
    LG CNS
    • Research on AI in academia and industry.
    • Agentic AI product development: general-purpose prebuilt agents.
    • MCP tool development.
  • 2024 - 2026

    Seoul, South Korea

    Graduate Researcher (Industry-Academia Collaborative Research with LG AI Research)
    Causality Lab, Graduate School of Data Science, Seoul National University
    Advised by Prof. Sanghack Lee.
    • Causal inference with causal generative models in time-series.
    • Causal discovery with LLM prior information.
    • Scalable causal discovery.
  • 2023 - 2024

    Seoul, South Korea

    Research Intern
    LIM Lab, Korea University
    Advised by Prof. Sungbin Lim.
    • Participated in LLM-based causal discovery research, contributing through to publication.
    • Causal representation learning with a human-resource prediction model.
  • 2022 - 2022

    Seoul, South Korea

    Undergraduate Research Intern
    Korea University
    Advised by Prof. Yoonjung Joo.
    • Research on bioinformatics datasets and preprocessing.
    • GeneBert project: built 2D gene expression matrices from Synapse and UKB omics data using PrediXcan weights.
  • 2021 - 2022

    Seoul, South Korea

    Researcher, Bioinformatics Team
    Curigin Inc.
    • Developed a scoring and weight-validation algorithm for bi-specific siRNA, fitting efficacy with polynomial linear regression.
    • Built a web-crawling-based automation system for gene expression pathway analysis on top of the ENRICHR database.
    • Preprocessed and annotated an siRNA database, mapping RNA/CDS sequences to produce the final mapping output.

Activities

  • KUBIG — Korea University Data Science & AI Society, Member and 18th President (Jan 2022 – Jan 2024). Led five ML/DL projects: image super resolution (EDSR, SwinIR, RRDB+), news topic classification (RoBERTa, KoELECTRA), and weather-based prediction tasks. As president, organized the curriculum for incoming members and ran study groups and seminars; members won 12 competition awards during the term.
  • BEAT — Department of Biomedical Engineering, Korea University, Biosensor Team Lead (Sep – Dec 2021). Studied biomarkers and biosensors for brain disease diagnosis, and built an experimental database from published papers.

Education

  • 2024 - 2026

    Seoul, South Korea

    M.S.
    Seoul National University
    Data Science
    • GPA: 4.02 / 4.30
    • Causality Lab, advised by Prof. Sanghack Lee.
    • Research area: causal discovery, causal generative models in time-series.
  • 2018 - 2024

    Seoul, South Korea

    B.S. in Engineering
    Korea University
    Biomedical Engineering
    • GPA: 4.11 / 4.50
    • Interdisciplinary major in Artificial Intelligence.

Publications

Awards

  • 2023
    3rd Award, 2023 K-DS Conference Hackathon
    K-DS Conference Organizing Committee

    Big-data-based projection of the school-age population, proposing a model more accurate than the cohort-component method used by Statistics Korea.

  • 2020
    Grand Prize, 2020 Korea University Pandemic Blockchain Ideathon
    Institute of Cyber Security & Privacy, Korea University

    “Vaccination certification and blockchain-based vaccine manufacturing and distribution data” — combining decentralized identifiers with smart contracts for traceability.

  • 2020
    3rd Prize, 2020 AI Idea Competition with Cancer Big Data
    National Cancer Center

    A model predicting depressive symptoms in cancer patients, using Gower-similarity-based PAM clustering to label depression severity.

Certificates