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General Information

Full Name Zhi Ling
Date of Birth 5th May 2000
Languages Chinese, English

Education

  • 2022-2023
    Master of Science in Statistics
    Imperial College London
    • GPA: 78.84/100
    • Courses
      • Computational Statistics, Fundamentals of Statistical Inference, Time Series Analysis,
      • Deep Learning, Machine Learning, Big Data Processing, Data Science
  • 2020-2022
    Bachelor of science in Statistics
    University of Glasgow
    • GPA: 20.08/22
    • Courses
      • Mathematical finance, Biostatistics, Advanced Bayesian Methods, Statistical Genetics, Spatial Statistics, Multivariate Data Analysis
  • 2018-2022
    Bachelor of Economics in Economic Statistics
    Zhongnan University of Economics and Law
    • GPA: 3.83/4.0
    • Percentage scores: 91.47/100
    • Double degree programme established with University of Glasgow
    • Courses
      • Macroeconomics, Microeconomics, Econometrics, Linear Algebra, Probability Theory, Mathematical Statistics

Experience

  • 2023 - now
    Research assistant
    Saw Swee Hock School of Public Health, National University of Singapore
    • Conduct research in infectious disease modelling, and machine learning applied to public health.
  • 2021
    Algorithm Engineer Intern
    Causis Investment Co., Ltd.
    • Hosting the development of backtesting systems (Python, SQL, MongoDB).
  • 2020
    Analyst Intern
    China Galaxy Securities Co., Ltd.
    • Responsible for the stock market sentiment analysis project.

Skills

Programming Python, R, SQL, MATLAB, C/C++, Shell
Technologies Git, Stan, Docker, PyTorch, TensorFlow, NumPy, Pandas, LaTeX

Academic Interests

  • Bayesian Inference
    • Approximate Bayesian Inference
    • General Bayesian methodology for biostatistics
  • Global health
    • Infectious Disease Modelling
    • Electronic health record (EHR)
  • Deep Learning
    • Generative Deep Learning
    • Bayesian Deep Learning and MCMC