Associate Professor, Dermatology and Skin Science

 

Research Areas:
Early detection of skin cancer, epidemiologic research on skin cancer, artificial intelligence for analysis of skin lesion images, hand-held diagnostic imaging devices

 

Dr. Lee’s research interests intercept the areas of computing, skin and cancer. Specifically, his lab develops innovative computer algorithms, based on artificial intelligence techniques, for the analysis of digital pigmented skin lesion images. These computer algorithms facilitate early skin cancer detection and follow-up. Another focus of Dr. Lee’s lab is to design hand-held in vivo imaging devices based on laser speckle and polarization properties of coherent light. These devices are aimed for differentiating malignant melanoma from other skin conditions. The effectiveness of the devices is tested on a large group of skin patients in clinical settings. The Lee lab also investigates epidemiologic research on the relationship between environmental and genetic risk factors of melanoma.