Research Interest: Translational Medicine
| Name | PhD Program | Research Interest | Publications |
|---|---|---|
| Schisler, Jonathan C. WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
The Schisler Lab is geared towards understanding and designing therapies for diseases involving proteinopathies- pathologies stemming from protein misfolding, aggregation, and disruption of protein quality control pathways. We focus on cardiovascular diseases including the now more appreciated overlap with neurological diseases such as CHIPopathy (or SCAR16, discovered here in our lab) and polyQ diseases. We use molecular, cellular, and animal-based models often in combination with clinical datasets to help drive our understanding of disease in translation to new therapies. |
| Cohen, Jessica WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
The Cohen Lab investigates how functional brain networks in humans interact and reconfigure when confronted with changing cognitive demands, when experiencing transformations across development, and when facing disruptions in healthy functioning due to disease. We are also interested in how this neural flexibility contributes to flexibility in control and the ability to learn, as well as the consequences of dysfunction in this flexibility. We use behavioral, neuroimaging, and clinical approaches taken from neuroscience, psychology, and mathematics to address our research questions. |
| Arthur, Janelle C. WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
The Arthur lab is interested in mechanisms by which inflammation alters the functional capabilities of the microbiota, with the long-term goal of targeting resident microbes as a preventative and therapeutic strategy to lessen inflammation and reduce the risk of colorectal cancer. We utilize a unique and powerful in vivo system – germ-free and gnotobiotic mice – to causally link specific microbes, microbial genes, and microbial metabolites with health and disease in the gut. We also employ basic immunology and molecular microbiology techniques as well as next generation sequencing and bioinformatics to evaluate these essential host-microbe interactions. |