Overview

I am a highly motivated, detail-oriented computational biologist, I enjoy challenging problems and like to develop new and effective approaches to deal with them. I have experience in working with different next generation sequencing data ranging from transcriptome (RNA-Seq), epigenome (ChIP-Seq, ATAC-Seq, CUT&RUN, WGBS, RRBS), chromatin structure (Hi-C, ChIA-PET) and single-cell sequencing data. He has also developed several computational methods and visualization tools such as:

• R3CPET: A method to predict the proteins that can contributed to chromatin interactions.
• FIND: A method to detect differential chromatin interactions in Hi-C data.
• HiC-Viewer: A web-based tool to visualize and predict the 3D structure of chromatin.
• PFC-explorer: A web-interface to visualize the prefrontal cortex single-cell RNA-Seq data.

Education

• PhD, Bioinformatics, Tsinghua university, China (2016)
• MSc, Computer Science/Bioinformatics , Central South University, China (2012)
• Chinese language , Central South University, China (2009)
• BEng, Computing Systems, Ecole National Supérieur d’informatique, Algeria (2008)

Professional Experience

Time	Position	PI/Supervisor	Institution
2020-	Bioinformatics Research Scientist	Gang Wu / Beisi Xu	St. Jude Children’s Research Hospital
2016-2020	Postdoctoral Fellow	Yi Zhang	Harvard Medical School/BCH, USA