I am a third year biostatistics Ph.D. student in Department of Biostatistics and Bioinformatics at Emory University. Previous to Emory, I obtained a Bachelor of Science (First Class Honours) in Computing Mathematics from City University of Hong Kong.
My dissertation research, advised by Dr. Limin Peng, aims to improve the understanding of heterogeneity in chronicle disease population. Technically, we incorporate empirical disease subgroup (or latent class) information in survival analysis to make reasonable inferences about associations between disease subgroups and survival outcomes. We devote to design methods for complex clinical data with multiple folds of challenges, including subgroup misclassification, longitudinal markers, missing survival outcomes, and competing risks. Our work collaborates with Goizueta Alzheimer’s Disease Research Center at Emory University.
As graduate research assistant, I also work with Dr. Tianwei Yu on batch effect adjustment for RNA-seq data. Our approach realizes batch effect correction in two steps, first in distance matrix level, then in count matrix level. The paper corresponding to the first step, Mitigating the adverse impact of batch effect in sample pattern detection, has been published on Bioinformatics. We are preparing to publish the manuscript about the second step. R packages that implement our methods are available at GitHub (QuantNorm, scBatch).
I have conducted collaborative research in several teams, including Winship Cancer Institute’s Biostatistics and Bioinformatics Shared Resource (BBISR), Biostatistics Collaborative Core (BCC) at my own department, and a multi-institutional team between Tongji, Ocean Univ of China, MSKCC and Emory.
I am enjoying my PhD life with strong curiosity being satisfied.
Please find my CV here (updated Apr 11 2019).