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NameEmailPhD ProgramResearch InterestPublications
Nazockdast, Ehssan
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Applied Physical Sciences

RESEARCH INTEREST
Biomaterials, Biophysics, Cell Biology, Computational Biology

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
EMAIL
PUBLICATIONS

PHD PROGRAM
Applied Physical Sciences, Biomedical Engineering

RESEARCH INTEREST
Biomaterials, Biophysics, Cell Biology, Computational Biology, Systems Biology

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
EMAIL
PUBLICATIONS

PHD PROGRAM
Bioinformatics & Computational Biology, Chemistry, Pharmacology

RESEARCH INTEREST
Biochemistry, Bioinformatics, Biophysics, Cancer Biology, Computational Biology, Genomics, Pharmacology, Structural Biology, Systems Biology, Translational Medicine

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

EMAIL

PHD PROGRAM

RESEARCH INTEREST
Bioinformatics, Computational Biology, Genetics

Alkhawaja, Abdalla

EMAIL

PHD PROGRAM

RESEARCH INTEREST
Bioinformatics, Computational Biology, Genomics

Byun, Jess

EMAIL

PHD PROGRAM

RESEARCH INTEREST
Bioinformatics, Computational Biology, Genomics

Eberhard, Quinn

EMAIL

PHD PROGRAM

RESEARCH INTEREST
Bioinformatics, Computational Biology, Structural Biology

Forbes, Kwame

EMAIL

PHD PROGRAM

RESEARCH INTEREST
Bioinformatics, Computational Biology, Genetics

Grundy, McKenzie

EMAIL

PHD PROGRAM

RESEARCH INTEREST
Computational Biology, Genetics, Systems Biology

Gulec, Saygin

EMAIL

PHD PROGRAM

RESEARCH INTEREST
Computational Biology, Systems Biology