![Chongzhi Zang](https://med.virginia.edu/cell-and-molecular-biology/wp-content/uploads/sites/45/2023/01/cz3d-100x133.jpeg)
Zang, Chongzhi
Primary Appointment
Associate Professor, Genome Sciences, Public Health Sciences
Education
- BS, Physics, Peking University
- PhD, Physics, George Washington University
- Postdoc, Biostatistics and Computational Biology, Harvard University
Contact Information
P. O. Box 800717, MSB-Room 6131C
1300 Jefferson Park Ave
Charlottesville, VA 22908
Telephone: 434-243-5397
Fax: 434-982-1815
Email: zang@virginia.edu
Website: https://zanglab.github.io
Research Disciplines
Bioinformatics and Genomics, Biology, Biomedical Engineering, Biophysics, Biophysics & Structural Biology, Biotechnology, Cancer Biology, Computational Biology, Computer Science, Epigenetics, Genetics, Immunology, Statistics
Research Interests
Bioinformatics methodology development; Epigenetics and chromatin biology; Transcriptional regulation; Cancer genomics and epigenomics; Statistical methods for biomedical data integration; Advanced machine learning; Theoretical and computational biophysic
Research Description
How gene expression is regulated in chromatin is a fundamental question in molecular biology. The transcription program is a major determinant of cell identity; transcriptional regulation is involved in many biological processes and human diseases. High-throughput genomics technologies including sequencing, single-cell and spatial omics enable us to obtain massive data measuring the dynamic patterns of numerous factors and elements in the genome that affect chromatin states and gene regulation. The research in the Zang Lab focuses on two aspects: 1) developing quantitative models and computational methods for analyzing high-throughput data generated from emerging omics technologies; and 2) using innovative data science and combining computational and functional genomics approaches to study chromatin biology, epigenetics and transcriptional regulation in mammalian cell systems and human diseases such as cancer. More information can be found on the lab website: https://zanglab.github.io