Conference on Learning for Dynamics & Control · 2022
Cited
5
Resume (English only)
Academic Achievements
Honored with the Alexander von Humboldt Professorship for AI in May 2024. Multiple papers accepted at COLT 2022, ICML 2022, and other top conferences.
Research Experience
Currently on leave at TU Munich. Research interests include applications of machine learning to operations research (supply chains), LLM based OPT+ML applications, and more.
Background
Esther and Harold E. Edgerton (1927) Career Development Associate Professor of EECS. Core member: Institute for Data, Systems, and Society (IDSS), and Laboratory for Information and Decision Systems (LIDS). Main research areas include machine learning, optimization, and mathematics, with a focus on non-convex optimization, non-Euclidean and geometric optimization, deep learning theory, etc.