Jie Ying Wu
Assistant Professor of Computer Science
Her research interests are in the area of medical robotics. In particular, she focuses on using machine learning techniques to transform surgical robots from a teleoperated tool to an intelligent assistant.
Jie Ying’s work explores using machine learning techniques to improve tools in the operating room, such as transforming surgical robots from a teleoperated tool to an intelligent assistant. As a part of this endeavor, Jie Ying improved the stability of an open-source surgical robotics platform, the da Vinci Research Kit, and laid out the framework for the next generation of that system. She’s also interested in modeling the interaction between surgeons and tissue so that we can better understand the environment surgeons are operating in. Some of the application areas has been skill assessment for kidney stone surgery and 3D reconstruction from endoscope images.