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NameEmailPhD ProgramResearch InterestPublications
Raab, Jesse
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Genetics & Molecular Biology

RESEARCH INTEREST
Bioinformatics, Cancer Biology, Computational Biology, Genetics, Genomics

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.

Nguyen, Juliane
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Pharmaceutical Sciences

RESEARCH INTEREST
Biochemistry, Bioinformatics, Biomaterials, Drug Delivery, Immunology, Translational Medicine

The Nguyen lab develops the next generation of effective and safe biotherapeutics for life-threatening diseases such as cancer and myocardial infarction. We engineer novel immunomodulatory carriers based on genetically encoded materials and lipids that home to the site of disease, respond to changes in the microenvironment, and effectively deliver nucleic acids and drugs.

Azcarate-Peril, M. Andrea
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Nutrition

RESEARCH INTEREST
Bacteriology, Bioinformatics, Genomics, Molecular Biology, Systems Biology

We are interested in determining the mechanisms involved in the beneficial modulation of the gut microbiota by prebiotics (functional foods that stimulate growth of gut native beneficial bacteria) and probiotics (live bacteria that benefit their host). Specifically, we aim to develop prebiotic and probiotic interventions as alternatives to traditional treatments for microbiota-health related conditions, and to advance microbiota-based health surveillance methods.

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.

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.

Schrider, Daniel
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Bioinformatics & Computational Biology

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

The Schrider Lab develops and applies computational tools to use population genetic datasets to make inferences about evolutionary history. Our research areas include but are not limited to: characterizing the effects natural selection on genetic variation within species, identifying genes responsible for recent adaptation, detecting genomic copy number variants and other weird types of mutations, and adapting machine learning tools for application to questions in population genetics and evolution. Study organisms include humans, the fruit fly Drosophila melanogaster and its relatives, and the malaria vector mosquito Anopheles gambiae.

Hoadley, Katherine A.
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Genetics & Molecular Biology

RESEARCH INTEREST
Bioinformatics, Cancer Biology, Computational Biology, Genetics, Genomics

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.

Jiang, Yuchao
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Bioinformatics & Computational Biology

RESEARCH INTEREST
Bioinformatics, Cancer Biology, Computational Biology, Genomics

Dr Jiang’s primary research interests lie in statistical modeling, method development and data analysis in genetics and genomics. His current research is focused on developing statistical methods and computational algorithms to better utilize and analyze different types of next-generation sequencing data under various setting, with application to data from large-scale cohort studies of human health and disease. Special focus is on single-cell transcriptomics, single-cell epigenomics, cancer genomics, tumor phylogeny, data normalization, and copy number variation detection.

Ward-Caviness, Cavin
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Bioinformatics & Computational Biology, Toxicology

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

We are actively engaged in multiple research arenas centered around understanding the associations between environmental exposures (primarily air pollution) and health outcomes. We use large clinical cohorts and electronic health records to understand associations between air pollution and health outcomes such as cardiovascular disease, metabolic disease, and aging. We use metabolomics and epigenetic data (primarily DNA methylation) to investigate molecular mechanisms, and highlight the integration of ‘omics data in a systems biology framework to better understand dysregulated pathways. Finally, we have projects centered around methods development and causal analyses to improve our understanding of the biology central to environmental health effects.