I am an Assistant Professor of Radiology at Duke University School of Medicine.
My main research focus is on applications of machine learning and computer vision algorithms to development of computational medical decision and education aids.
In my most recent research I develop models of human observers that capture error-making patterns of the observers when they they make decisions based on interpratation of medical images. My current experiments focus on radiology residents. The ultimate goal of this research is to reach a better understanding of decision and error making in radiologists and to construct an adaptive computer-aided education system for radiology.