معرفی
Jason Liu is a Researcher in the Department of Molecular Biophysics and Biochemistry at Yale University’s Yale School of Medicine. His work focuses on computational genomics, epigenetics, and the development of bioinformatics tools for analyzing genomic and regulatory data. He collaborates extensively on projects such as the ENCODE and EN-TEx initiatives, contributing to resources for cancer genomics and multi-tissue epigenome analysis. His research integrates machine learning, functional genomics assays, and systems biology approaches to study gene regulation, transcriptional networks, and the impact of genetic variants in diseases like cancer and psychiatric disorders.
Key research interests include single-cell genomics, regulatory network modeling, and the application of AI to wearable health data. Notable contributions include SCAN-ATAC-Sim (a single-cell ATAC-seq simulation tool), the RADAR framework for RNA-binding protein variant analysis, and the DiNeR model for network rewiring analysis. His work bridges computational methods with experimental biology to advance personalized medicine and functional genomics.
Liu has published over 15 peer-reviewed articles in journals like Nature, Nature Communications, and Genome Biology. His recent studies explore digital phenotyping via wearable devices, single-cell brain genomics, and multi-tissue epigenome integration. While no awards or grants are explicitly listed, his publications reflect significant contributions to bioinformatics and genomic medicine.
