CV

Education

• Double PhD Degrees in Informatics Science & Computer Science, University of Strasbourg, France & University of Verona, Italy, October 2019 - January 16th, 2023
  • Marie Skłodowska-Curie Fellowship
  • Project: AuTonomous intraLuminAl Surgery (https://atlas-itn.eu/)
  • Thesis: Analysis and correction of OCT images for the control of robotic flexible endoscopes
  • Thesis supervisors: Dr. Michalina J Gora and Dr. Diego D’Allaba
  • Thesis directors: Prof. Michel de Mathelin and Prof. Fiorini Paolo
• Master in School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, September 2016 - March 2019
  • Major: Instrument Science & Technology
  • GPA: 3.48/4.0
  • Thesis: Research on Reliability Enhancement for Navigation and Control System of Rotor-craft
  • Thesis adviser: Pro. Jiankang Zhao
• Bachelor in School of Electronic and Optical Engineering, Chong Qing University, September 2012 - June 2016
  • Major: Measurement & Control Science and Technology
  • CGPA: 3.57/4.0
  • Integrated Ranking: 3/107
  • Dissertation: Autonomous Navigation and Precise Positioning for Quadcopter Helicopter

Work Experience

• Postdoctoral Researcher, Department of Surgery, PennMedicine, University of Pennsylvania, December 2023 - Present
  • Developing data-driven AI for surgery
  • Mentors: Daniel A. Hashimoto, Eric Eaton, Kostas Daniilidis
• Researcher, ICUBE Laboratory, University of Strasbourg, October 2019 - January 2023
  • Manufacturing and image processing for catheterized and robotized Optical Coherence Tomography
  • Developed an automatic control algorithm of OCT in the colon with a robotic surgical endoscope
  • System integration and research team coordination
  • Master student supervision
• Researcher, ALTair Laboratory, University of Verona, January 2021 - October 2021
  • Image segmentation of catheterized intra-vascular ultrasound for Chronic Total Occlusion diagnosis
  • Developed privacy-preserving federated learning pipeline for OCT and IVUS
• Computer Vision Algorithm Engineer (Internship), Eastimage Equipment Co., Ltd, Shanghai, April 2019 – August 2019
  • Developed visual detection algorithm based on Deep Learning
  • Improved the automatic detection performance of X-ray images

Skills

• Algorithmic Skills:
  • Machine Learning
  • Computer Vision
  • Mapping and Localization
  • Sensor Fusion
  • State Estimation
  • Feedback Control
  • Optimization
  • System Identification
• Technical Skills:
  • C++, C, Matlab, Python, Caffe, Pytorch, Tensorflow, Labview, ROS, µC/OS, Linux, Altium Designer, IAR, KEIL, STM32 CubeMX, SolidWorks, Experimental set-up designs, OCT imaging system, Fiber-optic catheter manufacturing.
• Soft Skills:
  • Scientific presentation
  • Documentation
  • Team communication
  • Research
  • Problem-solving
• Language Skills:
  • Fluent in English and Chinese
  • Entry-level Italian and French

Teaching

• Biomedical Optics Course: 2 lectures (2 hrs per lecture) per year (2nd and 3rd year), Masters level
• Instrumentation Technique for Health: 2 lectures (2 hrs per lecture) per year (2nd year), Masters level
• Supervised Master Thesis:
  • Tania Olmo Fajardo (2022, with Florent Nageotte), Automatic scanning of robotic endoscopic optical coherence tomography. Now a biomedical engineer at Instituto Cajal CSIC, Madrid, Spain.

Service

• Reviewer for IEEE T-RO (2021), ICAR (2021 ×2), Journal of Navigation (2022)
• Organized Networking Training activity of ATLAS (with Michalina J. Gora and Benoit Rosa), “Medical Device Development and Translation”. 3-day course, 20 PhD students from 7 Universities
• Helped in organizing Spring 2024 GRASP on Robotics: Pietro Valdastri, University of Leeds, “Magnetic Surgical Robots: A ‘Fantastic Voyage’ deep inside the human body”, talk at UPenn.
• Memberships: Institute of Electrical and Electronics Engineers (IEEE) and Society of Photo-Optical Instrumentation Engineers (SPIE)