Skip to main content
NameEmailPhD ProgramResearch InterestPublications
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.

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.

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.

Zannas, Anthony
WEBSITE
EMAIL
PUBLICATIONS

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

RESEARCH INTEREST
Computational Biology, Genomics, Molecular Biology, Molecular Medicine, Translational Medicine

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.

Vincent, Benjamin
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Bioinformatics & Computational Biology, Microbiology & Immunology

RESEARCH INTEREST
Bioinformatics, Cancer Biology, Computational Biology, Genomics, Immunology, Systems Biology, Translational Medicine

The Vincent laboratory focuses on immunogenomics and systems approaches to understanding tumor immunobiology, with the goal of developing clinically relevant insights and new cancer immunotherapies.  Our mission is to make discoveries that help cancer patients live longer and better lives, focusing on research areas where we feel our work will lead to cures. Our core values are scientific integrity, continual growth, communication, resource stewardship, and mutual respect.

Dominguez, Daniel
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Bioinformatics & Computational Biology, Pharmacology

RESEARCH INTEREST
Cell Signaling, Computational Biology, Genetics, Molecular Biology, Pharmacology

The Dominguez lab studies how gene expression is controlled by proteins that bind RNA. RNA binding proteins control the way RNAs are transcribed, spliced, polyadenylated, exported, degraded, and translated. Areas of research include: (1) Altered RNA-protein interactions in cancer; (2) RNA binding by noncanonical domains; and (3) Cell signaling and RNA processing.

Won, Hyejung
WEBSITE
EMAIL
PUBLICATIONS

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

RESEARCH INTEREST
Bioinformatics, Genetics, Genomics, Molecular Biology, Neurobiology

We try to bridge the gap between genetic risk factors for psychiatric illnesses and neurobiological mechanisms by decoding the regulatory relationships of the non-coding genome. 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.

Griffith, Boyce
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Bioinformatics & Computational Biology

RESEARCH INTEREST
Bioinformatics, Cardiovascular Biology, Computational Biology, Organismal Biology, Physiology, Quantitative Biology, Systems Biology, Translational Medicine

My group develops and deploys computational tools to predict physiological function and dysfunction. We are interested in a range of applications in medicine and biology, but our primary focus is the cardiovascular system. My group is actively developing fluid-structure interaction (FSI) models of the heart, arteries, and veins, and of cardiovascular medical devices, including bioprosthetic heart valves, ventricular assist devices, and inferior vena cava filters. We are also validating these models using in vitro and in vivo approaches. We also model cardiac electrophysiology and electro-mechanical coupling, with a focus on atrial fibrillation (AF), and aim to develop mechanistically detailed descriptions of thrombosis in AF. This work is carried out in collaboration with clinicians, engineers, computer and computational scientists, and mathematical scientists in academia, industry, and regulatory agencies.