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.
