Dr. Ma's lab primarily focuses on developing AI/ML methods to study the structure and function of the human genome and cellular organization, with significant implications for health and disease. Recent interests include nuclear organization, single-cell epigenomics, spatial omics, and complex molecular interactions. These goals are often pursued through the development of probabilistic models and advanced deep learning techniques, particularly graph-based representation learning. The group is also actively exploring large language models to uncover gene regulatory mechanisms and the intricate connections among cellular components at various scales in complex tissues. The lab leads an NIH Center in the 4D Nucleome (4DN) Program and is involved in the NIH SenNet Consortium and the IGVF Consortium.
*Currently accepting graduate students