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Greater Atlanta Area United States

Assistant Professor

Education

Imaging based cancer research is in the early stages of a radiomics revolution, as it has now become feasible to automatically extract large sets of quantitative image features relevant to prognosis or treatment response. In recent years, my research has attempted to tackle many of the computational and informatics challenges in this field. This has included research and development in tools to help manage, integrate and analyze radiomic datasets. I have developed middleware systems for federating distributed sources of medical imaging data, radiation therapy data, and data derived from their human/automated analysis. These tools and systems have been adopted by The Cancer Imaging Archive...