교수진

조교수
김현아
hyeonah.kim@unist.ac.kr 제5공학관(112동) 301-11호
Machine Learning Machine Learning
AI+X AI+X
QR Code

Career History

  • 2015    B.S., Industrial Engineering, Hanyang University
  • 2021    M.S., Industrial Engineering, Seoul National University
  • 2025    Ph.D., Industrial and Systems Engineering, KAIST

Professional Experiences

  • 2015-2017         Software Engineer, LG CNS
  • 2025-2026         Postdoctoral Researcher, Mila – Quebec AI Institute & Université de Montréal
  • 2026-Present    Assistant Professor, UNIST

Intro

We develop generative models, reinforcement learning methods, and search algorithms for decision-making and discovery in large, structured spaces. Our research connects combinatorial optimization with AI for Science & Engineering, including molecular and biological sequence design. We use problem structure and prior knowledge to discover diverse, high-quality solutions while making efficient use of limited data and expensive evaluations. We are also  interested in generating structured learning environments and developing world models with causal and temporal abstractions that support efficient long-horizon decision-making

Research Field

머신러닝, 생성 모델, 강화학습, 조합최적화, 과학적 발견을 위한 인공지능