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Longhai Li is a Professor in the Department of Mathematics and Statistics at the University of Saskatchewan, where he teaches a diverse array of statistics courses, including Introductory Statistics, Applied Statistics, Probability/Statistical Theory, and Computational Statistics. He focuses on developing and applying statistical machine learning methods to analyze high-throughput and complex-structured data. His primary research interests include residual diagnostic methods, predictive modeling, and feature selection, creating innovative techniques to assess statistical models and identify predictive features linking human diseases with high-dimensional bioinformatic signatures. He is actively involved in supervising undergraduate and graduate students, leading research projects that have garnered funding from agencies such as NSERC, CFI, and MITACS. His findings have been published in prestigious journals like the Journal of the American Statistical Association and BMC Bioinformatics.
University of Saskatchewan • Saskatoon, SK
Teaching statistics and supervising research in various fields, focusing on statistical machine learning.
Standard university-wide graduate requirements apply to most arts and science departments unless otherwise specified by the program.