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.
Her work on leveraging vision and kinematics data to improve realism of biomechanic soft tissue simulation for robotic surgery received the audience award at the 2020 International Conference on Information Processing in Computer-Assisted Interventions. Wu has published in nine full-length publications at top-tier venues, and she has won multiple awards. In addition, Wu was part of a Johns Hopkins team that received a Kaggle COVID-19 Dataset Award for informing the United States’ response to COVID-19.