We are interested in understanding the regulatory mechanisms underlying cell fate decision. Especially, we take a multi-scale approach that integrates computational and experimental investigation of epigenetic regulation in cell fate decision from molecular level to genomic level then to systems level. We aim to build computational and theoretical models to uncover fundamental principles that govern cell fate decision in development and cellular reprogramming and design strategies to intelligently manipulate cell state.

Our research is highly interdisciplinary. The methods we use range from molecular modeling of protein structures, to bioinformatics analysis of epigenomic data generated by sequencing technology, to statistical learning of genetic network, to biophysical modeling of epigenetic landscape. The theoretical work is tightly coupled with experimental investigation that exploits molecular biology, biochemistry, cell biology and genomic techniques.