Ehssan Nazockdast, PhD
Ehssan Nazockdast, PhD
Assistant Professor of
Applied Physical Science
Resource Faculty
Phone: (919) 962-5097 | Office:
Email: ehssan@email.unc.edu | Website: http://nazockdastlab.com/
Research Areas: Computational Biophsyics
Research Interests:
Daniel Dominguez, PhD
Daniel Dominguez, PhD
Assistant Professor of
Pharmacology
Core Faculty
Phone: (919) 966-0131 | Office: 4113 Genetic Medicine Building
Email: didoming@email.unc.edu | Website: https://dominguez-lab.org/
Research Areas: Bioinformatics, Comparative Genomics and Molecular Evolution, Computational Genomics, Computational Systems Biology
Research Interests: The Dominguez lab studies how gene expression is controlled by proteins that bind RNA. We apply high-throughput biochemical and computational approaches to understand protein-RNA interactions, RNA processing, and gene regulation in normal and disease biology.
Brian Strahl, PhD
Brian Strahl, PhD
Professor and Vice-Chair of
Biochemistry & Biophysics
Resource Faculty
Phone: (919) 843-3896 | Office: 3060 Genetic Medicine
Email: brian_strahl@med.unc.edu | Website: http://www.med.unc.edu/~bstrahl/
Research Areas: Bioinformatics, Computational Biophysics, Computational Genomics
Research Interests: Our lab is interested in the role that histone post-translational modifications have in chromatin biology. Specifically, we are studying how enzymes that ‘write’ and ‘read’ histone modifications contribute to the function of chromatin and DNA-templated functions like gene transcription. To do so, we are employing a range of model organisms (yeast to mammalian cells) and approaches (genomics, genetics, biochemistry, biophysics as well as proteomics) that, together, are elucidating how readers and writer enzymes function to sculpt the chromatin landscape and regulate gene transcription. Students who join our lab would be involved in multiple UNC collaborations (as well as have individual projects) that would provide wide exposure these model systems and techniques.
Daniel Schrider, PhD
Daniel Schrider, PhD
Associate Professor of
Genetics
Core Faculty
Phone: (919) 843-6475 | Office: 5047 Genetic Medicine Building
Email: dschride@email.unc.edu | Website: https://www.schriderlab.org/
Research Areas: Bioinformatics, Comparative Genomics and Molecular Evolution, Computational Genomics, Statistical and Population Genetics
Research Interests: We develop and apply computational tools to make inferences about evolution from population genomic datasets. Our research areas include the population genetics of adaptation, genomic copy number variants, and the application of supervised machine learning tools to evolutionary questions.
Cavin Ward-Caviness, PhD
Cavin Ward-Caviness, PhD
Computational Biologist/Principal Investigator of
US EPA
Core Faculty
Phone: (919) 966-5445 | Office: 104 Mason Farm Road
Email: ward-caviness.cavin@epa.gov | Website: https://www.wc-lab.com/
Research Areas: Computational Genomics, Statistical and Population Genetics
Research Interests: My primary research interest is in using large clinical databases to uncover environmental and social health risks. In addition I am interested in furthering the use of machine learning in environmental epidemiology and uncovering molecular biomarkers for environmental health risk and the molecular mechanisms by which environmental exposures are translated into health outcomes.
Martin Ferris, PhD
Martin Ferris, PhD
Associate Professor of
Genetics
Core Faculty
Phone: (919) 966-4026 | Office: 5081 Genetic Medicine Building
Email: mtferris@email.unc.edu | Website: https://www.linkedin.com/in/martin-ferris-63a32634/
Research Areas:
Research Interests:
Shehzad Sheikh, MD, PhD
Shehzad Sheikh, MD, PhD
Associate Professor of
Genetics and Medicine
Resource Faculty
Phone: (919) 966-0745 | Office: 7320 Medical Biomolecular Research Building
Email: sheisx@med.unc.edu | Website: http://sheikhlab.web.unc.edu/
Research Areas: Bioinformatics, Computational Genomics, Computational Systems Biology
Research Interests: We seek to understand how information is encoded and dynamically utilized in immune cells from healthy and disease prone intestines (Crohn’s disease and Ulcerative colitis). We focus specifically on genes that regulate response to the bacteria that normally reside in our intestines. We use genome-sequencing technology to precisely identify regions throughout the genome that are potential ‘on’ or ‘off’ switches for these genes.
Ian Davis, MD, PhD
Ian Davis, MD, PhD
G. Denman Hammond Professor of
Genetics and Pediatrics
Resource Faculty
Phone: (919) 966-5360 | Office: 21-219 Lineberger Comprehensive Cancer Center
Email: ian_davis@med.unc.edu | Website: http://davislab.web.unc.edu/
Research Areas: Computational Genomics, Bioinformatics
Research Interests: Epigenomic and transcriptomic consequences of genetic alterations in cancer and applications to therapeutic discovery.
Katherine A. Hoadley, PhD
Katherine Hoadley, PhD
Associate Professor of
Genetics
Core Faculty
Phone: (919) 962-8416 | Office: 11-212 Mary Ellen Jones Building
Email: hoadley@med.unc.edu | Website: https://unclineberger.org/people/profiles/katherine-hoadley
Research Areas: Computational Genomics, Bioinformatics, Computational Systems Biology
Research Interests: My research interest is in genomic characterization and integrative genomic approaches to better understand cancer. My group is part of the NCI Genome Data Analysis Center focused on RNA expression analysis. We have a number of ongoing projects including developing molecular classifications for potential clinical utility, developing methods for deconvolution to understand bulk tissue heterogeneity, analysis of driver negative cancers, and analysis of ancestry markers with cancer features.
Hyejung Won
Hyejung Won, PhD
Assistant Professor of
Department of Genetics
Core Faculty
Phone: (919) 966-4069 | Office: 7202B Mary Ellen Jones Building, 116 Manning Dr.
Email: hyejung_won@med.unc.edu | Website: http://www.wonlab.org/
Research Areas: Bioinformatics, Statistical and Population Genetics
Research Interests: We try to bridge the gap between genetic risk factors for psychiatric illnesses and neurobiological mechanisms by decoding the regulatory relationships in human brain. In particular, we implement Hi-C, a genome-wide chromosome conformation capture technique, to identify the folding principle of the genome in human brain. We then leverage this information to identify the functional impacts of the common variants associated with neuropsychiatric disorders.