Prof. Longhai Li
Department of Mathematics and Statistics |
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Longhai Li is a professor at the University of Saskatchewan in Canada. He received his Ph.D. degree in statistics from the University of Toronto under the supervision of Prof. Radford M. Neal, a core member of the machine learning group at the U of T. Before that, he received B.Sc honours in statistics from the University of Science and Technology of China. He served on the NSERC IDG EG 1508 committee (Mathematics and Statistics) during 2022-2025. His research activities focus on developing and applying statistical machine-learning methods for bioinformatics and epidemiology data. His research has been funded by NSERC, CANSSI, CFI, CFREF, and MITACS. His research papers have appeared in highly reputed journals, such as Journal of American Statistical Association, Bayesian Analysis, Statistics in Medicine, Statistics and Computing, American Statistician, Journal of Applied Statistics, Scientific Reports, and BMC Bioinformatics.
Research Interests
statistical learning, cross-validation, hierarchical modelling, survival modelling, model checking, residual diagnostics, model comparison, zero-inflated models, high-throughput data, microbiome data