معرفی
Liqun Diao is an Associate Professor (Tenured) in the Department of Statistics and Actuarial Science at the University of Waterloo. He holds affiliations with the Health Data Science Lab and the Waterloo Artificial Intelligence Institute. His research focuses on developing statistical methods and machine learning algorithms for applications in medicine, public health, and insurance.
Education:
- B.Econ. in Statistics, Renmin University of China (2007)
- M.Math. in Statistics (Biostatistics), University of Waterloo (2009)
- Ph.D. in Statistics (Biostatistics), University of Waterloo (2013)
Research Interests:
- Recursive partitioning and tree-based methods for survival and health data
- Causal inference and missing data methodologies
- Bayesian nonparametric models and copula dependence structures
- Mortality forecasting and actuarial science applications
Awards:
- 2013 Pierre Robillard Award (best doctoral thesis in Canadian statistics)
- 2024 Outstanding Performance and Teaching Awards at UW
Professional Activities:
- Led research groups in health data science and AI
- Recipient of multiple grants from NSERC and industry partners
- Advises graduate students in statistics and actuarial science
Labs/Teams: Active contributor to the Health Data Science Lab and Waterloo AI Institute, focusing on applying statistical innovations to real-world health and insurance challenges.
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