Biography

I am a tenured Associate Professor of Biostatistics at University of Florida. I obtained my PhD in Computer Science and Informatics from Emory University, where I worked with Dr. Zhaohui Steve Qin (mentor) and Dr. Hao Wu (mentor). I also received a MS in Biostatistics and another MS in Computer Science from the Johns Hopkins University, where I worked with Dr. Hongkai Ji(mentor).

Opening

My lab now has multiple openings for PhD/MS students and one opening for Postdoc. Interested candidates please refer the Opening for how to apply.

Research

My lab is currently funded by NIH NIGMS. My lab’s research focuses on developing statistical and informatics methods for analyzing of multi-omics data. Projects include but not limited to

• Single-cell genomics: Develop statistical methods and tools for analyzing single-cell genomics data
  • Differential accessbility analysis using scMultiome data (scRNA-seq+scATAC-seq).[scaDA]
  • Cell type identification using scRNA-seq data.[BAMMSC]
• Epigenomics: Develop statistical methods and tools for analyzing epigenomic data
  • Differential binding using multi-condition ChIP-seq data. [ChIPComp]
  • TF regulatory module by integrating large-scale ChIP-seq data. [tfLDA]
  • Database and web server. [hmChIP]
  • Predictive modeling of disease progressing using DNA methylation data. [MTAE]
  • Predicting 3D chromatin interaction using Hi-C data. [DeepPHiC]
• Genetics: Develop computational methods for annotating and analyzing functional variants (GWAS SNPs, cis-eQTL SNVs) by utilizing large-scale multi-omics profiles
  • GWAS variant enrichment analysis. [traseR]
  • Functional variant prediction. [DIVAN;TIVAN; WEVar; TLVar; DeepPerVar; TIVAN-indel; MPRAVarDB]
• Metagenomics: Develop statistical methods for analyzing microbiome data
  • Normalization. [GMPR]
  • Power analysis. [powmic]
  • Predictive modeling.[glmgraph; SICS; glmmTree; MDeep]
• Transcriptomics: Develop statistical methods for analyzing non-coding RNAs
  • Differential expression analysis for circular RNA for small biological replicates. [circMeta]
• • Differential expression analysis for circular RNA for large-scale population study. [circMeta2]