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General Information
Full Name | Zhi Ling |
Date of Birth | 5th May 2000 |
Languages | Chinese, English |
Education
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2022-2023 Master of Science in Statistics
Imperial College London - GPA: 78.84/100
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Courses
- Computational Statistics, Fundamentals of Statistical Inference, Time Series Analysis,
- Deep Learning, Machine Learning, Big Data Processing, Data Science
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2020-2022 Bachelor of science in Statistics
University of Glasgow - GPA: 20.08/22
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Courses
- Mathematical finance, Biostatistics, Advanced Bayesian Methods, Statistical Genetics, Spatial Statistics, Multivariate Data Analysis
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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
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Courses
- Macroeconomics, Microeconomics, Econometrics, Linear Algebra, Probability Theory, Mathematical Statistics
Experience
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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.
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2021 Algorithm Engineer Intern
Causis Investment Co., Ltd. - Hosting the development of backtesting systems (Python, SQL, MongoDB).
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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
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Bayesian Inference
- Approximate Bayesian Inference
- General Bayesian methodology for biostatistics
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Global health
- Infectious Disease Modelling
- Electronic health record (EHR)
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Deep Learning
- Generative Deep Learning
- Bayesian Deep Learning and MCMC