معرفی
Jianhua Xing is an Associate Professor in the Department of Physics & Astronomy at the University of Pittsburgh, affiliated with the Dietrich School of Arts and Sciences. His research focuses on applying physics-based approaches to study biological systems, particularly cell phenotypic transitions (CPTs) and their underlying dynamics. He integrates quantitative single-cell measurements with computational and theoretical analyses to understand how cells transition between stable states.
Key research areas include:
- Nonequilibrium systems and rate theories for biological transitions
- Single-cell trajectory analysis and live-cell imaging
- Epithelial-mesenchymal transition (EMT) dynamics
- Gene regulatory networks and stochastic processes
- Biological applications of dynamical systems theory
Recent work highlights the coupling between EMT and cell cycle arrest, leveraging machine learning frameworks (e.g., LivecellX) for high-resolution imaging analysis. His lab also explores chromosomal dynamics and mechanotransduction in stem cell aging.
Publications emphasize data-driven modeling and theoretical insights, with contributions to frameworks like GraphVelo and Graph-Dynamo for inferring cellular state transitions. Collaborative efforts bridge physics, biology, and computational science to address fundamental biological questions.
No awards or grants are explicitly listed in the provided texts. His research group focuses on advancing systems biology through interdisciplinary methods, with a lab dedicated to quantitative analysis of cellular processes.
