Hyeonah Kim
Scholar

Hyeonah Kim

Google Scholar ID: TYYYjckAAAAJ
Mila, Université de Montréal
AI4ScienceDeep LearningCombinatorial OptimizationReinforcement Learning
Citations & Impact
All-time
Citations
243
 
H-index
7
 
i10-index
7
 
Publications
9
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • Publications: Multiple papers accepted at ICML 2025, AISTATS 2025, NeurIPS 2024, etc.; Awards: Sejong Science Fellowship from the National Research Foundation of Korea (2025); Google Conference Scholarship for NeurIPS 2024; KAIST Graduate Student Outstanding Paper Award 2024.
Research Experience
  • Postdoctoral researcher at Mila and Université de Montréal, working with Alex Hernandez-Garcia.
Education
  • Mar 2021 - Feb 2025, Ph.D. Candidate in Industrial and Systems Engineering, KAIST (SILAB & COMET Lab); Mar 2019 - Feb 2021, Master's in Industrial and Systems Engineering, KAIST.
Background
  • Research Interests: Scientific discovery with deep learning, particularly GFlowNets, active learning, and sample-efficient training. Currently exploring improved exploration strategies for GFlowNets and their applications to synthesizable molecule generation. Also deeply engaged in combinatorial optimization.
Miscellany
  • No personal interests mentioned.