I am Wanwen Chen (陈婉雯), a first-year Ph.D. student in Electrical and Computer Engineering at the University of British Columbia, and my advisor is Dr. Tim Salcudean. My research interests are in ultrasound imaging and image guidance for robot-assisted surgery. I am interested in developing computer vision algorithms for medical robotics and ultrasound diagnosis. My past works were about needle tracking in ultrasound, insertion planning for robotic needle insertion, and AI for lung ultrasound diagnosis. Currently, I start investigating the ultrasound guidance for robotic surgery and deep learning for quantitative ultrasound-based diagnosis. I am a recipient of the Four Years Doctoral Fellowship at the University of British Columbia.
I hold a M.S. in Robotics from the Robotics Institute at Carnegie Mellon University, where I worked with Dr. John Galeotti on ultrasound and medical robotics. Before joining CMU, I received a B.S. in Theoretical and Applied Mechanics from Peking University, where I was advised by Dr. Qining Wang from 2017 to 2019. I visited Biomechatronics Lab at the University of California, Los Angeles, advised by Dr. Veronica J. Santos for the Cross-disciplinary Scholars in Science and Technology (CSST) in 2018.
Photo by: Xulin Liang