Research Summary

We are a computational genomics lab where we develop and apply methods and tools to identify genetic drivers of cancer risk, progression and therapy response. To understand such genetic factors, we need to find new routes to analyze, integrate and explore diverse, massive and heterogeneous genomics datasets. Towards this goal, we utilize genomic epidemiology, computational genomics, data visualization, machine learning, and ultrafast computing. We have been active in the area of computational cancer genomics, specifically in the analysis of massive sequencing data in genomic epidemiology studies in the past few years. Our appointments at the Department of Genetics and Genomic Sciences, the NCI-designed Tisch Cancer Center and the Precision Immunology Institute at the Icahn School of Medicine foster an ideal environment to pursue our research studies.