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Our research focus is Computational Epigenetics in Development, Aging, and Diseases, particularly Cancer.

Our computational approaches include development of statistical methods and software packages, and analysis of high throughput DNA sequencing data, such as Bisulfite-Seq, ChIP-Seq, and RNA-Seq, to extract biological insights especially in transcriptional and epigenetic regulation. In particular, my past research centered on DNA methylation and then its crosstalk with gene expression, histone modification, alternative splicing, transcription factor binding, lncRNA, genomic variants and etc (Nat Genet 2011 & 2013, Cell Stem Cell 2014 & 2014, Genome Biol 2014, Bioinformatics 2013).

Was a physicist, now a bioinformatican, but I want to be a computational biologist.

Key Words
Bioinformatics - Computational Biology - Biostatistics
Computational Cancer Epigenetics - Genetics
Epigenomics - Genomics - Epigenome - Genome - Transcriptome
DNA Methylation - Hydroxymethylation - Histone Modification - Non-coding RNA - Nucleosome Positioning - Chromtin Remodeling
Bisulfite-Seq - RNA-Seq - ChIP-Seq - Genome-Seq - NoMe-Seq - Microarray - RRBS - WGBS

Hematopoietic Stem Cell - Aging - AML - MDS
Acute Myeloid Leukemia - Myelodysplastic Syndrome

Hadoop - Cloud Computation
Machine Learning