Chongzhi Zang
Associate Professor, Public Health Sciences
Primary Location
P. O. Box 800717, MSB-Room 6131C
1300 Jefferson Park Ave
Charlottesville, VA 22908
1300 Jefferson Park Ave
Charlottesville, VA 22908
Primary Phone Number
Fax Number
434.982.1815
Email
Website
Bio & Overview
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
Academic Information
- Department
- Public Health Sciences
- Academic Title
- Assistant Professor of Public Health Sciences
Primary Education
- BS, Physics, Peking University, 2005
- PhD, Physics, George Washington University, 2010
- Postdoc, Biostatistics and Computational Biology, Harvard University, 2016
Other Appointments
- Assistant Professor, Biochemistry and Molecular Genetics
- Assistant Professor, Biomedical Engineering
Other Affiliations
- Cancer Center
- ENG
- Molecular Genetics and Epigenetics Program
- Biomedical Engineering
- Biophysics
- Biophysics
- Biochemistry and Molecular Genetics
- Biochemistry and Molecular Genetics
- BIMS-BME
- Center for Public Health Genomics
- Graduate Programs Office
- BIMS
- BIMS
- Genomic Sciences
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 biophysics
Research Disciplines
- Bioinformatics and Genomics
- Biology
- Biomedical Engineering
- Biophysics
- Biophysics & Structural Biology
- Biotechnology
- Cancer Biology
- Computational Biology
- Computer Science
- Epigenetics
- Genetics
- Immunology
- Statistics
Research Opportunities
- Bioinformatics & Genomics
- Biophysics & Structural Biology
- Biotechnology
- Cancer Biology
- Computational Biology
- Epigenetics
- Genetics
- Immunology
PhD Programs
- Biochemistry & Molecular Genetics
- Computational Biology