Research and Publications

My dissertation research, advised by Dr. Limin Peng, aims to improve the understanding of heterogeneity in chronic disease population. We devote to developing latent class analysis methods for complex clinical data with multiple folds of challenges, including latent class uncertainty, missing failure types of competing risks, informative cluster size of longitudinal markers, model selection, and computational issues. Our work is applied to mild cognitive impairment (MCI) research led by our collaborators from Goizueta Alzheimer’s Disease Research Center at Emory University.

As graduate research assistant, I worked with Dr. Tianwei Yu on batch effect adjustment for RNA-seq data from fall 2016 to spring 2020. Our approach realizes batch effect correction in two steps, first in distance matrix level, then in count matrix level. R packages that implement our methods are available on GitHub (QuantNorm, scBatch).

I have also 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.

ORCID: 0000-0001-7888-1715