Statistical machine learning and interpretable artificial intelligence
Actuarial modelling and insurance risk analytics
Automobile insurance pricing, rate regulation, and pricing fairness
Spatial and spatio-temporal modelling of insurance risk
Geographical rating territory design and risk classification
Loss distribution modelling and claims analytics
Predictive modelling in insurance and finance
Insurance fraud detection and clustering methods
High-dimensional data analysis and feature extraction
Functional data analysis and multivariate statistical methods
Time series analysis and forecasting
Biomedical signal processing and pattern recognition
Statistical analysis of computer simulation experiments
Fuzzy reinforcement learning and intelligent control
Variable importance, feature selection, and multi-criteria decision analysis
“Multivariate Feature Extraction for High Dimensional Health Data”, supported by MITACS and Ryerson University.
“Algorithms for optimizing the use of cell phones as probes”, supported by the Ministry of Transportation Ontario.