Zhanyue Zhao received his bachelor degree in Electrical Mechanics Engineering from University of Science and Technology, Beijing in 2014. During his undergraduate years, he was the research assistant in Robotics Competition Lab for over 2 years, where he graduated with the auto climbing pole robot design. He also participated in fabricating aerospace fluid detector device for China Academy of Space (CASC). He joined the Robotics Lab of IIT from 2014 to 2016 working for JPL, NASA. During the pried he was focusing on electrostatic/gecko-like adhesive fabrication methods for self-aligning gripper, which collaborated with Perception Robotics (funded by NASA SBIR/STTR project) and Miniature Electrostatic/Gecko-like Adhesives (MEGA) Climber Robot collaborated with JPL. Then he joined the Pediatric Cardiac Bioengineering Laboratory in Boston Children's Hospital (BCH) in January 2017 and worked as a research assistant, where he worked on the in vivo molding of airway stents optimized to preserve ciliary function for neonates and infants, which is new biomedical device and surgical toolkits design for Tracheobronchomalacia (TBM). He then joined the Neural Systems Group (NSG) Biomedical Engineering Lab in Massachusetts General Hospital (MGH), Athinoula A. Martinos Center for Biomedical Imaging in November 2017, where he was focusing on designing new prototype of wearable cuffless blood pressure monitoring device and improving the robustness with mechanical analysis and ergonomic principles. After that he joined The Laboratory for Advanced Biomaterials and Stem-Cell-Based Therapeutics (Karp Lab) in Brigham Women's Hospital (BWH) in January 2018 and worked as a research trainee, where he is still focusing on digital toilet project for analyzing stools condition in clinical trails for IBD patients and IBS study.
In September 2018 he joined in the Automation and Interventional Medicine (AIM) Robotics Research Laboratory at Worcester Polytechnic Institute (WPI) and started his PhD study. His current research includes Steerable Concentric Tube-needle Robot for Patients design, and fabrication optimization for MRI piezoelectric motors design.