Gene Regulatory Networks (GRNs) — intricate interplays of chromatin, transcription factors, and genes — dictate cell states and behaviors in varied biological scenarios. Revealing their architecture and dynamics is paramount for advancing disease interventions. Harnessing cutting-edge technologies like single-cell multi-omics, spatial-omics and functional genomics, our lab achieves unmatched GRN resolution.

During my postdoc at MIT, I delved into the cellular dynamics of metastatic melanoma under various treatments, obesity's molecular response to exercise, and Down Syndrome’s cellular reaction to Alzheimer’s Disease, drawing from both human and mouse single-cell data. These studies spotlight myeloid cells' pivotal role in tumor and tissue responses. We're now pushing to decode myeloid cell circuit reprogramming and disruptions using multimodal high-resolution data, striving for a comprehensive model of myeloid cell behaviors in health and disease.

 

Computional-driven Biological Discovery: Technology, Computation and Biology