Our research can be classified into four main research directions: (See our Research Activities and Research Outputs)
 Research Interests of Individual Staff
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Actuarial Science; Capital Allocation; Game Theory; Insurance Economics; Optimal (Re)insurance; Longevity Risk Modelling; Risk Sharing
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Machine Learning; Learning Theory; High-dimensional Data Analysis; Optimization
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Actuarial Science; Dependent Structures; Stochastic Orders; Risk Measures; Optimal Insurance; Extreme Value Theory
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High Frequency Data Analysis/ Market Co-integration; Analysis of Dually Listed Companies across Different Regions
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Statistical Machine Learning; Image Data Analysis; High-dimensional Statistics; Deep Learning
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Bayesian Inference; Bayesian Nonparametrics; Model Selection; Causal Inference
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Survival Analysis; Non- and Semi-Parametric Inference; Biostatistics; Alzheimer’s Disease; Infectious Disease; Cancer
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Computer Vision; Machine Learning; Deep Learning
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Dependence Modeling; Computational Statistics; Data Science; Quantitative Risk Management
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Influential Observations; Multivariate Statistics; Non-linear Random Model
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Survival Analysis; Biostatistics; Public Health; Analysis of Infectious Diseases
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Social Media and Big Data Analytics; Artificial Intelligence and Business/Health Informatics; Video Analytics, AI chatbot, and Metaverse; Risk Management and Business intelligence; E-learning and Knowledge Management; IS adoption, E-business Strategies and Applications (Healthcare, Finance, Marketing, and Supply Chain Management)
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Dr. David LEE, BSc(ActuarSc), MPhil HK; PhD British Columbia; ASA
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Copula Modelling; Extreme Value Theory; High-dimensional Dependence Structures; Multivariate Tail Dependence
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Bootstrap; Resampling Methods; Statistical Theory: Asymptotics and Applications
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Real Option Theory and Applications; Resource Economics; Quantitative Trading; Quantum Computing, Blockchain and Smart Contracts
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Time Series Analysis; Financial Econometrics; Quantile Regression; High Dimensional Data Analysis; Machine Learning
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Actuarial Science; Insurance Economics; Mathematical Finance
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AI in Healthcare; Medical Image Processing; Illumination Modeling; Deep Learning
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Random Matrix Theory; Time Series Analysis; High-dimensional Data Analysis
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Actuarial Science; Financial Mathematics; Insurance Risk Models; Financial Risk Analysis; Enterprise Risk Management
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AI; Bayesian Methods; Big Data; Clinical Trials; Deep Learning; High-dimensional Analysis; Machine Learning; Survival Analysis
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Medical Image Analysis; Machine Learning; Computer Vision; Clinical NLP; AI in Healthcare
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Big Data Analytics; Bayesian Methods; Biostatistics; Statistical Genetics; Bioinformatics; Public Health and Biomedical Research
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Machine Learning; Bayesian Non-parametrics; Scalable Inference
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Time Series Analysis; Extreme Value Theory; Insurance Risk Modelling; Machine Learning
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Time Series Analysis; Econometrics; Causal Inference
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