Research Interest: Computational Biology
| Name | PhD Program | Research Interest | Publications |
|---|---|---|
| Nazockdast, Ehssan WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
We are interested in the physics of soft and squishy materials, especially the organization and mechanics of living cellular materials. We use theory and simulation in close collaboration with experiments to understand the complex structural and mechanical behavior of these systems. These questions and our approach to them are interdisciplinary and intersect several traditional fields, including cell biology, biophysics, fluid dynamics and applied mathematics. |
| Superfine, Richard WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
Superfine’s group studies stimulus-responsive active and living materials from the scale of individual molecules to physiological tissues, including DNA, cells and microfluidic-based tissue models. We develop new techniques using advanced optical, scanning probe, and magnetic force microscopy. We pursue diverse physiological phenomena from cancer to immunology to mucus clearance in the lung. Our work includes developing systems that mimic biology, most recently in the form of engineered cilia arrays that mimic lung tissue while providing unique solutions in biomedical devices. |
| Brunk, Elizabeth WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
A growing body of work in the biomedical sciences generates and analyzes omics data; our lab’s work contributes to these efforts by focusing on the integration of different omics data types to bring mechanistic insights to the multi-scale nature of cellular processes. The focus of our research is on developing systems genomics approaches to study the impact of genomic variation on genome function. We have used this focus to study genetic and molecular variation in both natural and engineered cellular systems and approach these topics through the lens of computational biology, machine learning and advanced omics data integration. More specifically, we create methods to reveal functional relationships across genomics, transcriptomics, ribosome profiling, proteomics, structural genomics, metabolomics and phenotype variability data. Our integrative omics methods improve understanding of how cells achieve regulation at multiple scales of complexity and link to genetic and molecular variants that influence these processes. Ultimately, the goal of our research is advancing the analysis of high-throughput omics technologies to empower patient care and clinical trial selections. To this end, we are developing integrative methods to improve mutation panels by selecting more informative genetic and molecular biomarkers that match disease relevance. |
| Giri, Gilbert |
PHD PROGRAM RESEARCH INTEREST |
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| Alkhawaja, Abdalla |
PHD PROGRAM RESEARCH INTEREST |
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| Byun, Jess |
PHD PROGRAM RESEARCH INTEREST |
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| Eberhard, Quinn |
PHD PROGRAM RESEARCH INTEREST |
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| Forbes, Kwame |
PHD PROGRAM RESEARCH INTEREST |
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| Grundy, McKenzie |
PHD PROGRAM RESEARCH INTEREST |
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| Gulec, Saygin |
PHD PROGRAM RESEARCH INTEREST |