cv

Last Updated: 2025.3

Education

  • 2022.8 - prevent
    Ph.D. Candidate (MS/PhD Program) in Chemistry
    Korea Advanced Institute of Science and Technology (KAIST)
  • 2018.2 - 2022.8
    B.S. in Chemistry & Computer Science (Double Major)
    Korea Advanced Institute of Science and Technology (KAIST)
    • GPA - 3.99/4.3

Experience

  • 2019.6 - prevent
    AI4Science Researcher
    Korea Advanced Institute of Science and Technology (KAIST)
    • Supervised by Prof. Woo Youn Kim
    • Generative flow networks (GFlowNets) for drug discovery
    • Trillion-scale chemical library screening using GFlowNet
    • Research projects on synthesizable drug discovery
    • Development of a DL architecture for fully-automated receptor-based pharmacophore modeling
    • Development of an unbiased drug-likeness scoring
  • 2020.12 - 2022.8
    AI Research Intern
    HITS Inc.
    • Supervised by Dr. Jaechang Lim
    • Research projects on synthesizable drug discovery

Software

  • 2025
    Hyper Screening X
    • 7 trillion-scale virtual screening with RxnFlow
  • 2024
    OpenPharmaco
    • Open-source protein-based pharmacophore modeling software
  • 2023
    MolVoxel
    • Open-source Easy-to-Use Molecular Voxelization Tool

Honors and Awards

  • 2023
    • Admission in Graduate School with Highest Honors
  • 2022
    • KAIST Alumni Scholarship
  • 2021
    • Younghoon Lee Scholarship
    • Model Student Awards
    • Dean's List
  • 2020
    • National Science & Technology Scholarship
  • 2019
    • Dean's List

Academic Interests

  • Drug Discovery
    • Small molecule drug design
    • Synthesizability
    • Protein-ligand interaction
    • Virtual screening
    • Pharmacophore modeling
  • Deep Learning
    • Generative Flow Network (GFlowNet)
    • Graph Neural Network (GNN)
    • Combinatorial Optimization