- Graduate Student
His research focuses on using machine learning techniques to identify features of physicians' speech and eye-movements that are useful for predicting their diagnostic confidence and correctness. In particular, he is interested in "multimodal" features, i.e. simultaneously occurring features of speech and eye-movement, which have not currently received as much attention as either modality in isolation. Predicting both confidence and correctness simultaneously could allow for the identification over- or under-confidence, which are significant causes of diagnostic errors.