2026-10
Our new paper on spatial multiomics mapping of scleroderma renal crisis has been published in Annals of the Rheumatic Diseases.
>> COLAB@CUHK-SZ Decoding the language of life
Decoding the language of life
through computation.
We build computational and machine-learning models to decode genome regulation, cellular state, and disease mechanisms — turning high-dimensional biological data into testable hypotheses for human health.
24 Publications
7 Software
2026 Lab founded
Recent news
Selected updates from the lab.
2026-09
Zhijian accepts an offer to join the School of Medicine, CUHK-Shenzhen, as Assistant Professor.
About the PI
Principal Investigator at the School of Medicine, CUHK-Shenzhen.
Zhijian Li, Ph.D., is a Principal Investigator at the School of Medicine, The Chinese University of Hong Kong, Shenzhen. His research focuses on computational biology, genomics, and machine learning, with particular interests in genome regulation, single-cell multi-omics, and computational modeling of cellular systems.
Before joining CUHK-Shenzhen, he conducted postdoctoral research at the Broad Institute of MIT and Harvard. He received his Ph.D. from RWTH Aachen University, where he trained in computational genomics and developed methods for analyzing high-dimensional genomic data.
Research highlights
Three programs connecting genome regulation, cell state, and predictive biology.
Regulatory genomics
Decoding how DNA sequence and chromatin encode gene regulation and non-coding function.
Multimodal cellular modeling
Learning integrated representations of cell state from single-cell, spatial, and multi-omic measurements.
Predictive models of cellular systems
Building models that predict perturbation responses and guide biological experiments.
Selected publications
Representative papers — full list on the publications page.
We are looking for curious people.
Postdocs, PhD students, research assistants and visiting scholars with backgrounds in computational biology, statistics, machine learning, or molecular biology — we'd love to hear from you.