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 is a research assistant in bioinformatics. Her research focuses on integrating multi-omics datasets to reconstruct gene regulatory networks and identify master regulatory factors governing cell differentiation. Outside the laboratory, she enjoys observing animal and plant behavior, camping, and fishing.
Haoyuan is a visiting student in Chao Tang's lab. He received his Bachelor of Science degree in Computer Science from the Chinese University of Hong Kong in 2025. His research interests are large language models for biological languages and computer modeling of life behaviors.
Yiran is enrolled in Msc in statistics at NUS with expertise in data analysis and machine learning. Her research interests include medical decision analysis, biomedical image processing and pancreas development, with a focus on applying quantitative methods to biomedical problems.
Fancheng is an undergraduate student at the School of Physical Science and Technology, Wuhan University. His research interests include non-equilibrium statistical physics in living systems and artificial neural networks.
