Kang, Wanmo (강완모)

Kang, Wanmo (강완모) is a Professor in the Department of Mathematics at the Korea Advanced Institute of Science and Technology (KAIST). His research interests include applied probability, stochastic simulation, and optimization in stochastic environments. He has contributed to risk analysis and machine learning through various publications. Kang's work has been presented at major conferences such as NeurIPS, ICLR, and ICML, where he has shared findings on diffusion models, likelihood-free inference, and robust optimization. His research has applications in finance, operations research, and data science. Kang is affiliated with KAIST and maintains a profile page at https://sites.google.com/site/wanmokang/.