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Melanoma is a deadly cancer when caught late yet is often surgically curable disease when detected and treated at the earliest stages. Fortunately, most melanomas begin on the skin, and thus we have the opportunity to detect them using visual examination. However, early detection of melanoma can be challenging and access to dermatologic care is often limited. This can lead to failure to detect melanoma when it is most treatable or to a high rate of removal of benign lesions. Both increase health care costs and put patients at risk. My research focuses on new techniques to improve the early detection of cutaneous melanoma. Artificial intelligence can be applied to the analysis of images of pigmented skin lesions. In addition, I am interested in understanding which patients benefit most from screening for melanoma and have several publications that examine melanoma epidemiology, detection patterns, and associations between melanoma screening and outcomes.