Assistant Professor & Canada Research Chair (tier II)
Research Interest: (1) Statistical Genomics, (2) Machine learning (3) Design and analysis of clinical trials, and (4) Big data problems
Other Affiliations: (Associate) Faculty member of
Obtained a PhD degree in statistics from University of British Columbia (09/2007-05/2011) under the supervision of Dr. Raphael Gottardo and Dr. Kevin P. Murphy. Held a BCIC Innovation Scholarship (2007-2009) and a NSERC CGS-D scholarship (2009-2011)
Has been a visiting scholar at Fred Hutchinson Cancer Research Center (2011), supported by Canada Graduate Scholarships – Michael Smith Foreign Study Supplements
Worked as a postdoctoral fellow with NSERC PDF award (2011-2013) at the Dept. of Biostatistics at Johns Hopkins University under the supervision of Dr. Hongkai Ji and Dr. Rafael Irizarry.
Joined the University of Victoria (2017) as an assistant professor & Canada Research Chair (tier 2).
Postdoc fellowship I could hire regular postdoc using research grant, but the salary will not be competitive. I'd like candidates to apply additional funding from other agencies, such as PIMS postdoc, CANSSI postdoc, NSERC postdoc, MITACS postdoc, MITACS Chinese postdoc etc. Successful candidates are expected to have solid statistics knowledge and strong programming skills. Background in machine learning and/or bioinformatics are preferred.
PhD/MSc students: Department will provide about $5000/year TA salary for all graduate students. My students are encouraged to apply VADA scholarship
UVic tuition is about $2000 per term, which is much lower than most other universities in Canada.
Selected recent publications
On logistic Box-Cox regression for flexibly estimating the shape and strength of exposure-disease relationships. (The Canadian Journal of Statistics 2020 Accepted) Arxiv manuscript link
Two Submitted manuscripts about optimal design
The Optimal Design of Clinical Trials with Potential Biomarker Effects, A Novel Computational Approach. (2020) Arxiv manuscript link
(To solve a clinical trial design problem with computational challenges, we proposed a novel approach using GPU Monte Carlo and smoothing. The programming and first draft preparation are led by Yitao Lu, a summer intern student in my lab.)
Optimal Study Design for Reducing Variances of Coefficient Estimators in Change-Point Models. (2020) Arxiv manuscript link
MTPS: Multi-Task Prediction using Stacking Algorithms. CRAN link
GWASbyCluster: Identifying disease-associated significant SNPs using clustering approach. CRAN link
PICS: Probabilistic inference of ChIP-Seq using an empirical Bayes mixture model approach. Bioconductor link
PING: Probabilistic inference for Nucleosome Positioning with MNase-based or Sonicated Short-read Data. Bioconductor link
- A tutorial of using Compute Canada Servers prepared by my Student Simon Guo
- Style guide for R programming
- Machine learning packages in R
- An interesting tutorial about deep learning in R
- Video: The 2nd generation seuqncing technology
- Video: The 3rd generation seuqncing technology
Mathematics and Statistics
University of Victoria
PO BOX 1700 STN CSC
Canada V8W 2Y2