Ruggles et al., 2017

Ruggles et al., 2017

Cancer Proteogenomics

As part of the Clinical Proteomics Tumor Analysis Consortium (CPTAC), we are focusing on the application of computational and statistical methods to model biological systems and human heath.  Our primary focus within this study is in the analysis of proteomics, genomics and transcriptomics of tumors to allow for better understanding of the static and dynamic status of the disease.


Human Microbiota

Devlin et al., 2018

Devlin et al., 2018

We are developing tools for the integration of metagenomics, metatranscriptomics, 16S and proteomics to discover novel pathways to better understand the normal and diseased microbiome. We are particularly interested in the relationship between gut microbiota and autoimmune disease.


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Computational Immunology

With strong collaborations in the Immunology and Microbiology Departments at NYU our lab has increased our interests into complex human and mouse immunology. We have several projects harnessing multi-omic immunological profiling to further our understanding of immune activation and heterogeneity. Integrative analysis of data such as multi-parameter flow cytometry, cytokine production assays, single-cell gene expression of immune cell compartments and microbiome assays have powered deep phenotyping of complex immune processes.


Cardiovascular Multiomics

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As a collaborator of the ISCHEMIA trial, we are in the process of developing novel methods to analyze multi-omic data in an effort to characterize ischemic heart disease. Our primary goals and to draw significant causative conclusions that can further our understanding of the genomic and transcriptomic underpinnings of the clinical manifestations and development of ischemic heart disease.