Education

  1. Ph.D. in Computational and Quantitative Biology (expected 2025)

    École Polytechnique Fédérale de Lausanne

    Thesis: SPAD Image Sensors with Embedded Intelligence

    This research focuses on integrating recurrent and spiking neural networks within or near SPAD sensors to enable efficient, real-time, intelligent edge processing, especially for biomedical imaging. The work encompasses sensor IC design, processor architecture, FPGA implementation, software development, neural network training and evaluation, mathematical modeling, fluorescence lifetime imaging, and optical system setup. Supervisor: Prof. Edoardo Charbon and Dr. Bruschini Claudio.

  2. B.Eng. in Automation (2020)

    Shanghai Jiao Tong University

    Dissertation: Subcellular localization of long noncoding RNA with interpretable deep learning

    This study explores the application of natural language processing techniques to RNA sequences for predicting the subcellular localization of long noncoding RNAs. The developed prediction software is deployed on a server, providing biologists with accessible and reliable tools for analysis. Supervisors: Prof. Hong-Bin Shen and Prof. Xiaoyong Pan

Skills & Hobbies
Technical Skills
Python
C++
OpenCV
Hobbies
Badminton
Photography
Awards
Award for the Best Talk of a Young Researcher
BMPN 2022 ∙ December 2022
In BMPN 2022, I presented my work on Real-time neural network-based fluorescence lifetime imaging with SPAD sensors.
Languages
100%
Chinese
80%
English
10%
French