Founding scientist and Seattle site lead for the Oracle Cloud Robotics Laboratory. Lead research and engineering across robotic navigation, multi-robot orchestration, reinforcement learning, vision-language-action models, world action models, humanoid whole-body control, and simulation.

Developed a mobile AI system for Amazon drivers, helping them improve delivery efficiency and reduce delivery mistakes.

Researched efficient AI systems, neural architecture search, model compression, and hardware-aware model design.

Led machine-learning research on early diagnosis and progression prediction for Alzheimer’s disease and major depressive disorder. Also developed statistical learning methods for second-order linear models.

Developed the ALADDIN large-scale video retrieval system and conducted research in video understanding, content-based retrieval, and feature fusion.

Researched scalable online kernel learning and sparse optimization, developing algorithms with near-optimal or nearly constant support-vector bounds and efficient sparse recovery using adaptive non-convex regularization.