About Me

Hi! I am Wanwen Chen (陈婉雯), a Ph.D. candidate in Electrical and Computer Engineering at the University of British Columbia, working in the Robotics and Control Lab under the supervision of Dr. Tim Salcudean. I collaborate closely with the Prisman Lab at Vancouver General Hospital. I am also working at Prenuvo as a Machine Learning Intern.

My research focuses on developing advanced ultrasound and surgical augmented reality systems for transoral robotic surgery, with the goal of improving clinical outcomes through intelligent, image-guided interventions. I build deep learning pipelines for ultrasound, MRI, and CT, and translate these technologies into real-world surgical and robotic applications. With a strong background in interdisciplinary collaboration, I’m passionate about applying cutting-edge robotics and machine learning to healthcare challenges.

Previously, I earned a M.S. in Robotics from the Robotics Institute at Carnegie Mellon University, where I was advised by Dr. John Galeotti. I earned a B.S. in Theoretical and Applied Mechanics from Peking University, where I worked with Dr. Qining Wang. I’ve had the opportunity to intern at Intuitive Surgical in 2023 and to visit Biomechatronics Lab at the University of California, Los Angeles, advised by Dr. Veronica J. Santos in 2018.

Outside research, you can find me skiing, running, swimming, hiking, and hitting the gym. I also enjoy good books and coffee.