Skip to main content
Chongzhi Zang

Chongzhi Zang

Associate Professor, Public Health Sciences

Primary Location
P. O. Box 800717, MSB-Room 6131C
1300 Jefferson Park Ave
Charlottesville, VA 22908
Primary Phone Number
Fax Number
434.982.1815

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

Selected Publications