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NameEmailPhD ProgramResearch InterestPublications
Ferris, Marty
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Bioinformatics & Computational Biology, Genetics & Molecular Biology

RESEARCH INTEREST
Bioinformatics, Computational Biology, Genetics, Genomics, Immunology, Pathogenesis & Infection, Systems Biology, Virology

In the Ferris lab, we use genetically diverse mouse strains to better understand the role of genetic variation in immune responses to a variety of insults. We then study these variants mechanistically. We also develop genetic and genomic datasets and resources to better identify genetic features associated with these immunological differences.

Love, Michael
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Bioinformatics & Computational Biology

RESEARCH INTEREST
Bioinformatics, Computational Biology, Genetics, Genomics

The Love Lab uses statistical models to infer biologically meaningful patterns in high-dimensional datasets, and develops open-source statistical software for the Bioconductor Project. At UNC-Chapel Hill, we often collaborate with groups in the Genetics Department and the Lineberger Comprehensive Cancer Center, studying how genetic variants relevant to diseases are associated with changes in molecular and cellular phenotypes.

Rubinsteyn, Alex
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Bioinformatics & Computational Biology

RESEARCH INTEREST
Bioinformatics, Computational Biology, Genomics, Immunology, Translational Medicine, Virology

I work on predicting the determinants of adaptive immune responses. Most of my work has focused on T-cell epitope prediction for mutant antigens derived from cancer. I have collaborated closely with clinical groups to translate this work in personalized cancer vaccine trials. More recently I have also been working on joint T-cell and B-cell prediction for viral pathogens. The technologies and techniques applied across all of my projects are at the intersection of computational immunology, genomics, and machine learning.

Morris, John
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Pharmacology

RESEARCH INTEREST
Cancer Biology, Developmental Biology, Genetics, Genomics, Metabolism

The Morris lab leverages flexible mouse models of hard to treat cancers of the pancreas and liver to identify how cancer drivers perturb evolutionarily selected developmental programs and how such programs may be re-normalized. We focus on (1) the relationship between tumor suppressor pathways and the epigenetic determinants of cell plasticity, (2) evolutionary routes unleashed by specific tumor suppressor loss, and (3) how diversification at both the epigenetic and genomic level contribute to cancer development and therapeutic response.

Smith, Keriayn
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Genetics & Molecular Biology

RESEARCH INTEREST
Cancer Biology, Cell Biology, Genetics, Genomics, Molecular Biology

We are interested in elucidating context-specific functions of products from single long noncoding RNA (lncRNA) loci. Since lncRNAs have been implicated in many cellular processes, it is critical to delineate specific roles for each lncRNA. Moreover, as they are increasingly associated with diseases including developmental disorders, degenerative diseases, and cancers, defining their functions will be an important precursor to their use as diagnostics and therapeutics. We specialize in adopting -omics approaches including genomics, transcriptomics and proteomics, combined with single molecule methods to study the intermolecular interactions – RNA-protein, RNA-RNA and RNA-chromatin that lncRNAs use to execute their functions in normal stem cells and cancer.

Rau, Christoph
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Bioinformatics & Computational Biology, Genetics & Molecular Biology

RESEARCH INTEREST
Bioinformatics, Cardiovascular Biology, Computational Biology, Genetics, Genomics, Molecular Biology, Systems Biology, Translational Medicine

Heart failure is an increasingly prevalent cause of death world-wide, but the genetic and epigenetic underpinnings of this disease remain poorly understood. Our laboratory is interested in combining in vitro, in vivo and computational techniques to identify novel markers and predictors of a failing heart. In particular, we leverage mouse populations to perform systems-level analyses with a focus on co-expression network modeling and DNA methylation, following up in primary cell culture and CRISPR-engineered mouse lines to validate our candidate genes and identify potential molecular mechanisms of disease progression and amelioration.

Shpargel, Karl
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Genetics & Molecular Biology

RESEARCH INTEREST
Cancer Biology, Developmental Biology, Genetics, Genomics, Organismal Biology

Our laboratory studies the coordination of histone-modifying enzymes in regulating chromatin structure, enhancer activation, and transcription. We utilize mouse genetics and cell culture model systems to study the mechanisms of enhancer activation in neural crest cell epigenetics, craniofacial development, and altered enhancer regulation in cancer. This is accomplished through a variety of techniques including mouse mutagenesis, fluorescent reporters to isolate primary cells of interest, low cell number genomics, and proteomic approaches.

Milner, Justin
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Genetics & Molecular Biology, Microbiology & Immunology

RESEARCH INTEREST
Cancer Biology, Computational Biology, Genomics, Immunology, Pathogenesis & Infection, Translational Medicine

The overall focus of our lab is to develop new and exciting approaches for enhancing the efficacy of cancer immunotherapies. We utilize cutting-edge techniques to identify transcriptional and epigenetic regulators controlling T cell differentiation and function in the tumor microenvironment, and we seek to leverage this insight to reprogram or tailor the activity of T cells in cancer. Our group is also interested in understanding how to harness or manipulate T cell function to improve vaccines and immunotherapies for acute and chronic infections.

Heinzen, Erin
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Bioinformatics & Computational Biology, Pharmaceutical Sciences

RESEARCH INTEREST
Genetics, Genomics, Neurobiology, Systems Biology, Translational Medicine

Matute, Daniel
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Bioinformatics & Computational Biology, Biology, Genetics & Molecular Biology

RESEARCH INTEREST
Computational Biology, Evolutionary Biology, Genetics, Genomics, Organismal Biology

My research program studies how species form. We use a combination of approaches that range from field biology, behavior, and computational biology.