Current research interests in Dr. Jun Wan's lab cover broad topics of bioinformatics and computational systems biology, particularly focused on (1) deciphering genetic and epigenetic codes, (2) exploring master regulators and their interactions for gene reprogramming, (3) understanding dynamics of gene regulatory networks, (4) investigating interactions between small molecules and proteins/DNA/RNA, and (5) using machine learning to predict gene regulation and model binding activities of small molecules. Since 2007, Dr. Wan has been conducting studies in gene regulatory mechanisms from multiple dimensions, including transcription factor regulation, DNA methylation, alternative splicing, microRNA regulation, whole-genome nucleosome organization, histone modifications, and chromatin organizations. His lab also works on public domain data to integrate a wide variety of ‘-omics’ data sets to achieve comprehensive patterns of gene regulatory networks, while developing diverse cutting edge analyses on high-throughput data and next generation sequencing (NGS) data, such as RNA-Seq, scRNA-seq, ChIP-Seq, ATAC-seq, scATAC-seq, Whole Genome Bisulfite Sequencing (WGBS), Whole genome/exome sequencing, and CRISPR/Cas9 among others.

Research: Bioinformatics and Computational Systems Biology

Oncology, Human Genetics, Biomedical Science
PhD, Queen's University, Computational Physics, 2006
MS, Fudan University, Condensed Matter Physics, 2001
BS, Shanghai Jiao Tong University, Applied Physics, 1991