ProfessorDepartment of Mathematics and Statistics
University of Saskatchewan
106 Wiggins Road, MCLN 219
S7N 5E6 CANADA
Phone: +1 (306) 966-6095
Email: longhai(at)math.usask.ca; other emails.
I received my PhD degree in statistics from the University of Toronto under the supervision by Radford Neal of the UofT machine learning group. My PhD thesis is about statistical machine learning methods for high-dimensional data (see here). This topic has held my interest since then. My current research activities focus on developing and applying statistical learning methods for high-throughput data and spatial-temporal data.
Highlights and News
- 24 Dec 2019: A new paper Antimicrobial resistance genetic factor identification from whole-genome sequence data using deep feature selection is published in BMC Bioinformatics, jointly with Jinhong Shi, Anthony Kusalik, and others.
- 1 Nov 2019: A new paper "Residual Analysis for Regression with Censored Data via Randomized Survival Probabilities", jointly with Tingxuan Wu and Cindy Feng, is made available on arXiv.
8 Oct 2019: Steven Liu and I happily release a new R package: HTLR: Bayesian Logistic Regression with Heavy-Tailed Priors, [CRAN page], [Github page]. HTLR was listed in the top 40 new packages in October 2019 by R views of Rstudio.