Flexible Machine Learning
fast, memory-efficient, and deployable
We develop and analyze fast and memory-efficient machine learning algorithms — inspired by theoretical background— for efficient deployment of Artificial Intelligence models.
Recruitment
FlexML is currently recruiting self-motivated incoming graduate students with strong backgrounds in mathematics, computer science, or electrical engineering starting from Fall 2026. We are looking for individuals passionate about developing efficient ML/AI algorithms, with a strong theoretical foundation and practical impact. Postdoctoral and visiting researcher positions are also available. If you are interested in joining our team, please email me with your CV, transcript, and a brief statement of research interests (insu.han@kaist.ac.kr).