CV

Education

• M.S. in Biomedical Engineering, University of Science and Technology of China, 2022-2025 (expected)
• B.E. in Computer Science and Technology, ShanghaiTech University, 2018-2022
  • GPA: 3.73/4.00, ranking 6% in CS major students.
  • Honored with ShanghaiTech outstanding graduate in the class of 2022.
• Visiting student in University of Padova, Italy, 2019.8-2019.9
  • Summer course in General Arts and Science.

Research Experience

• 2022.3-now: Graduate Research Assistant in USTC
  • Supervisor: Prof. S. Kevin Zhou
  • Thesis topic: Universal multi-sequence undersampled MRI reconstruction.
• 2020.10-2021.8: Undergraduate Research Assistant in Shanghaitech University
  • Supervisor: Dr. Yuyao Zhang 中 EN
  • Projects involved: Unsupervised super-resolution of 3D MR images; Single View 3D Hand Pose Estimation Enhanced by Electromyographic (EMG) Signals.

Skills

• Programming Languages: Python, C++/C, Matlab, RISC-V
• Software & Tools: Pytorch, LaTeX, Insight Toolkit, OpenCV, OpenGL, ROS
• English: TOEFL: 108, CET4: 666, CET6: 595
• AI courses: (Underline denotes graduate-level courses.)
  • Computation: Computer Architecture(A), Signals and Systems(A), Software Engineerng(A), Algorithms and Data Structure(A-), Algorithm Analysis(A+), Parrallel Algorithm
  • Math: Linear Algebra(A), Mathematical Analysis(B+), Math Theory II for BME(91), Convex Optimization, Matrix Analysis and Application
  • Application: Artificial Intelligence(A), Computer Vision(A+), Computer Graphics II(A+), Robotics(A)
  • Interdiscipline: Biomedical basics I&II(86, 94), Medical Image Computing, Medical Visuliazation, Cognitive Neuroscience(psychology)