Research Interest: Computational Biology
| Name | PhD Program | Research Interest | Publications |
|---|---|---|
| Love, Michael WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
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 PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
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. |
| Rau, Christoph WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
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. |
| Milner, Justin WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
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. |
| Lu, Zhiyue WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
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| Matute, Daniel WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
My research program studies how species form. We use a combination of approaches that range from field biology, behavior, and computational biology. |
| Palmer, Adam WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
The Palmer lab investigates combination cancer therapy: understanding the mechanisms of successful drug combinations to inform the development of combinations with new cancer therapies. Our approach is a synthesis of experiments, analysis of clinical data, and modeling. Students can pursue projects that are experimental, computational, or a mixture of both. Our goals are to improve the design of drug combinations, the interpretation of clinical trials, and patient stratification to increase rates of response and cure through more precise use of cancer medicines in combinations. |
| Raab, Jesse WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
We are interested in the links between epigenetics and gene regulation. Our primary focus is on understanding how changes to the composition of chromatin remodeling complexes are regulated, how their disruption affects their function, and contributes to disease. We focus on the SWI/SNF complex, which is mutated in 20% of all human tumors. This complex contains many variable subunits that can be assembled in combination to yield thousands of biochemically distinct complexes. We use a variety of computational and wet-lab techniques in cell culture and animal models to address these questions. |
| Dowen, Rob WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
Appropriate allocation of cellular lipid stores is paramount to maintaining organismal energy homeostasis. Dysregulation of these pathways can manifest in human metabolic syndromes, including cardiovascular disease, obesity, diabetes, and cancer. The goal of my lab is to elucidate the molecular mechanisms that govern the storage, metabolism, and intercellular transport of lipids; as well as understand how these circuits interface with other cellular homeostatic pathways (e.g., growth and aging). We utilize C. elegans as a model system to interrogate these evolutionarily conserved pathways, combining genetic approaches (forward and reverse genetic screens, CRISPR) with genomic methodologies (ChIP-Seq, mRNA-Seq, DNA-Seq) to identify new components and mechanisms of metabolic regulation. |
| Zannas, Anthony WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
Psychosocial stress is abundant in modern societies and, when chronic or excessive, can have detrimental effects on our bodies. But how exactly does stress “get under the skin?” Our lab examines how stress shapes the human epigenome as age advances. Epigenetic changes are a set of chemical modifications that regulate gene transcription without altering the genetic code itself. We examine how lasting epigenetic patterns result from stressful experiences, accrue throughout life, and can in turn shape health or disease trajectories. We address these questions through a translational approach that combines large-scale analyses in human cohorts with mechanistic work in cellular models. We use both bioinformatics and wet lab tools. Our passion is to promote creative team work, offer strong mentorship, and foster scientific growth. |