| Biography | |
|---|---|
 Prof. Xuekui Zhang Department of Mathematics and Statistics, University of Victoria, Canada |
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| Title: Cell type annotation using single-cell RNA-sequencing data | |
| Abstract: Single-cell RNA-sequencing (scRNA-seq) technology enables researchers to investigate a genome at the cellular level with unprecedented resolution. An organism consists of a heterogeneous collection of cell types, each of which plays a distinct role in various biological processes. Hence, the first step of scRNA-seq data analysis is often to distinguish cell types so they can be investigated separately. In this talk, we will share our recent works on cell annotation methods, and illustrate them with real data applications. | |
| Biography: Dr. Zhang’s primary appointment is at the University of Victoria, where he was recruited in 2017 as an assistant professor & Canada Research Chair in Bioinformatics and Biostatistics (tier 2). Before that, Dr. Zhang has worked as a Ph.D. statistician at pharmaceutical companies Eli Lilly & Co. and AstraZeneca (2014-2017). Dr. Zhang’s research focus is to develop and apply novel biostatistics methods and software tools to solve real-world problems in medical research. His research interests include Bioinformatics, Biostatistics, Machine learning, Design of clinical trials, and Big data problems in any field. | |
