CV

Academic background and research experience.

Positions

Postdoctoral Researcher

Feb. 2024 - Present

Marietta Blau Institute for Particle Physics, Austrian Academy of Sciences, Vienna, Austria

  • Machine-learning-based statistical inference in high-energy physics.
  • Efficient machine learning for high-energy physics analyses.
  • Advisor: Prof. Dr. Claudius Krause.

Postdoctoral Researcher

Oct. 2022 - Jan. 2024

Department of Physics, Konkuk University, Seoul, South Korea

  • Machine learning for jet tagging and jet substructure.
  • Phenomenology of extended Higgs sectors.
  • Advisor: Prof. Dr. Jeonghyeon Song.

Education

PhD in Physics

Sep. 2017 - Jun. 2022

University of Chinese Academy of Sciences and Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing, China

  • Thesis: Hunting for axion-like particles at the LHC.
  • Supervisor: Prof. Dr. Jinmin Yang.

BSc in Physics

Sep. 2013 - Jun. 2017

Lanzhou University, Lanzhou, China

Research Profile

My research addresses fundamental questions in high-energy physics, including electroweak symmetry breaking, physics beyond the Standard Model, and the extraction of maximal information from collider data.

I develop machine-learning methods that improve the precision, computational efficiency, and robustness of collider analyses, with applications to jet physics, collider phenomenology, statistical inference, and systematic uncertainties.

Awards

Academic Service