Led by Prof. Tang, the team consists of higly motivated and dedicated researchers, administrators, postdoctoral fellows, Ph.D. students, and collaborators. We bring together diverse experties in physics, mathematics, biology, and artificial intelligence. We cultivate a simulative and collaborative environment to foster learning, growth, and innovation.
As a computational biologist specializing in data analysis and mathematical modeling, Xiaochan's expertise is developing quantitative methods to decipher the cell-cell communication governing cell fate transitions fundamental in developmental biology, regenerative medicine, and immunology.
Xin-Ya has a strong background in complex systems, AI, and computational neuroscience, with expertise in data-driven modeling, theoretical analysis and numerical simulation. Her research focuses on combining physical methodologies with deep learning algorithms to reveal the simple laws underlying complex systems.
Jing Zhang is a research assistant in Chao Tang's lab at the Center for Interdisciplinary Studies. Before that, she obtained a Master's degree in Chemical Engineering and Technology from Beijing University of Chemical Technology. Her research focuses on integrating multi-omics datas to identify key regulatory factors governing cell development and differentiation. Outside the laboratory, she enjoys observing animal and plant behavior, camping, and fishing.
