Dr. Jie Li leads the Generalizable Representation Learning (GRL) team at Toyota Research Institute (TRI). Dr. Li's research focuses on representation learning for online robot perception in a dynamic environment, to improve model robustness, generalizability, and label efficiency.
She received her Ph.D. from the University of Michigan, Ann Arbor, in 2017, where she started developing ML algorithms for perception and localization in mobile robotic systems (cf. Google Scholar). You can find her on LinkedIn and Twitter @ljlijie.