My laboratory studies genomic and epigenomic alterations in brain tumors, including glioma and meningioma.  We characterize the biology of specific genomic alterations and how they contribute to the molecular pathogenesis and treatment resistance of aggressive brain tumors.  We also utilize genomic signatures with a goal of identifying clinically relevant subclasses.  Our hypothesis is that biologically-based classification of brain tumors will lead to a greater understanding of why specific tumor subtypes may be more or less sensitive to therapeutics.

At the branch level, and as a diagnostic pathologist, I am passionate about the use of new technologies to improve diagnostics of cancer.  Morphologic interpretation by the light microscope is an extremely effective tool for classification, but can be limited by subjectivity and ambiguity for difficult-to-diagnose cases.  The increasing application of genomic, epigenomic and computational modalities show promise to improve precision and accuracy of cancer diagnostics.  The future of diagnostic pathology will increasingly utilize genetic and epigenomic alterations, as well as computational and image analysis approaches to define and classify cancer.  My vision is to disrupt our current practice of sole reliance on morphologic interpretation by integrating these and other technologies within our current standard of care to promote precision diagnostics of cancer.