Experience

  1. Rigshospitalet, Copenhagen University Hospital

    Academic Internship in Neurobiology Research Unit
    • Data Analysis Group
  2. ByteDance Ltd.

    Big Data Engineer Internship
    • Built data ETL pipelines on content review traffic event logs, performed data wrangling and aggregation to help transport data from an operation data store (ODS) layer to a data warehouse for faster accessibility and better security
    • Implemented a mathematical programming solution with Python to solve for a stratified sampling sample size that satisfies a specific distribution, bringing the sample characteristics closer to reality and facilitating the business side to make decisions
  3. Sichuan New Energy Vehicle (NEV) Innovation Center

    Co-op Internship for Modelling Engineer
    • Cooperatively developed forecasting models based on macroeconomic indicators (top-down) and sectoral energy demand (bottom-up) to investigate the impact of NEV policy decision-making in Python to give the comprehensive assessment
    • Provided statistical and quantitative evaluation analysis, created vivid visualizations, and identified that policies of NEV changes and clean energy applications will have changes on greenhouse gas emissions and economic

Education

  1. Univeristy of Copenhagen

    M.Sc. in IT and Cognition
  2. Renmin University of China

    B.S. in Mathematics & B.A. in Economics
    • Minor in Cognitive Science
    • GPA: 3.7/4.0 (Rank: top 15%)
    • 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 in my github.
      • 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 phased achievements of the National Natural Science Foundation of China (approval number: 71973143); presented papers at the 8th China Public Finance Forum and the 8th Young & Middle-aged Fiscal Scholars Forum, 6th Applied Economics Advanced Frontier Forum of Chinese Industry Economy etc.
Skills and Teaching Experiences
Programming Languages
★★★ Python、MySQL、$\LaTeX$
★★☆ C/C++、HTML、STATA
★☆☆ CSS、Javascript
Teaching Assistant
Scientific Programming

2024 Fall, Master Level

Dynamic Programming

2022 Fall,2021 Fall, Undergraduate Level

Public Finance

2022 Spring, Undergraduate Level