I am currenly a postdoctoral researcher at the Institute of Theoretical Physics, Chinese Academy of Sciences. My research interests mainly focus on the study of theoretical modelling and the application of AI-based machine learning techniques to gravitational wave data analysis. In addition, I am also committed to related researches such as data processing methods and the development of algorithms for ground-based and space-based gravitational wave detection.

My doctoral dissertation, “Research on Data Analysis of Deep Learning in Gravitational Wave Detection”, discusses the difficulties and challenges of real-time detection and data processing of gravitational wave signals by ground-based gravitational wave detectors, and combines real gravitational wave data with traditional signal processing algorithms via deep neural network model to search for possible weak gravitational wave signals.


  • Gravitational Waves
  • Data Analysis
  • Machine Learning
  • Deep Learning
  • Artificial Intelligence


  • Ph.D. in Theoretical Physics, 2020

    Beijing Normal University

  • M.Sc. in Theoretical Physics, 2015

    China West Normal University

  • B.Sc. in Applied Physics, 2012

    Chongqing Technology and Business University



A survey on gravitational waves researches using machine learning techniques.

My Dissertation [zh-CN]

Title: Research on Data Analysis of Deep Learning in Gravitational Wave Detection.