o (2012) B.A., Seoul National University
o (2015) M.A., Stanford
o (2016) Ph.D., Stanford

o (2021~Present) Associate Professor, Department of Industrial and Systems Engineering, KAIST
o (2016~2021) Assistant Professor, Department of Industrial and Systems Engineering, KAIST

• Neural Combinatorial Optimization
• Deep Learning Approaches for Modeling and Control Dynamic Systems
• Multi-Agent Reinforcement Learning for Controlling Complex Systems
• Smart Manufacturing
• Smart Transportation and Logistics
• Design Optimization for biological sequences, chemicals, and semiconductors

o From a methodological perspective, my research is divided into three main areas: developing AI based solver for (1) static (black-box) optimization, (2) dynamic control/planning, and (3) dynamic game for multi agents. I am aim to enhance generalization, scalability, and efficiency of these methods. The research focused on methodology development is primarily published at top AI/ML conferences.
o From an application perspective, my research primarily focuses on three areas: smart factories, smart transportation/logistics, and the discovery of drugs, chemicals, and materials. I aim to significantly impact the industry by solving previously intractable problems using innovative methods developed through my research. I have collaborated with experts in mechanical, aerospace, electrical, computer, and civil engineering to address a variety of challenges.