Personal Information
- He/Him, born in 2000, Anhui province
- A lifelong learner and a fatalist
Education
- 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
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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
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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).
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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.
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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.
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- Graduation Thesis: Green Multiplier: A Dynamic Discrete Choice Model of NEV Market and Fiscal Policy Analysis in China
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Neuroscience and Cognitive Science
Skills
- ★★★ Python、MySQL、$\LaTeX$
- ★★☆ C/C++、HTML、STATA
- ★☆☆ CSS、Javascript