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.
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