Cancer genome and Immune system regulation
Our lab focuses on studying gene regulation in viral (e.g. EBV and HBV) associated cancers, autoimmune diseases (e.g. Rheumatoid Arthritis) , and infectious diseases (e.g. COVID-19) by integrating computational and experimental approaches. We utilize biological assays and computational models to identify novel biological pathways, new host-pathogen interactions and regulatory RNAs (e.g. enhancer RNAs and circular RNAs) that could trigger disease. 
We are exploiting single cell and bulkhigh throughput sequencing data (e.g. RNA-seq, ChIP-seq, ATAC-seq, Hi-C) using machine learning tools to guide experiments.

Positions are available (Immunology, Virology, Computational Biology)

Recent News 

2020- Papers accepted in Cell ReportsJVIJCI InsightsTheranosticsImmunityNature communications

2019- Paper accepted in Cancer Research, eLife, eLife

2018- Paper accepted in Nature Immunology

2017- Paper accepted in Nature Immunology

2016- Papers accepted in Sci-Imm, JI, Onc-Tar