About Me

Personal Information

  • He/Him, born in 2000, Anhui province
  • A lifelong learner and a fatalist


  • Renmin University of China (RUC), School of Information, Beijing, Sep 2018 - Jun 2022
    • B.S. in Mathematics and Applied Mathematics & B.A. in Economics, Minor in Cognitive Science
    • Honors & Awards:
      • 2022 Outstanding Graduates in School of Information
      • 2021 & 2019 the Scholarship for Excellent Studies
      • 2020 the Sa Shixuan’s Elite Scholarship in Recognition of Academic Excellence

Professional Experience

  • ByteDance Ltd., Beijing ,Sep 2022 - Dec 2022, Big Data Engineer Internship
  • Sichuan New Energy Vehicle (NEV) Innovation Center (Prof. Ouyang Academician Workstation), Sichuan, Jul 2021 - Aug 2021, Co-op Internship as Modelling Engineer

Research Interests

  • Artificial Intelligence Generated Decision

    Game Theory; Reinforcement Learning; Multi-agent Behaviour

    • Graduation Thesis: Green Multiplier: A Dynamic Discrete Choice Model of NEV Market and Fiscal Policy Analysis in China
      • Proposed a dynamic discrete choice model to solve a nonlinear optimization problem for household car-buying decision-making in Python using vectorization and Numba library, greatly speeding up the high-dimensional computing efficiency from hours to seconds (the code can be found here).

      • Generated a novel indicator of carbon emission reduction to fiscal expenditure ratio based on a heterogeneous household model and conducted a counterfactual analysis to investigate the effects of fiscal policies in the new energy vehicle market on carbon emission reduction.

      • Awards: the 1st Prize of Excellent Graduation Thesis for Undergraduates of RUC (top 3%) and the presented papers at the 8th China Public Finance Forum and the 8th Young & Middle-aged Fiscal Scholars Forum etc.

  • Neuroscience and Cognitive Science


  • ★★★ Python、MySQL、$\LaTeX$
  • ★★☆ C/C++、HTML、STATA
  • ★☆☆ CSS、Javascript