Nikita Mehandru is currently a Ph.D. student at the UC Berkeley School of Information, and a member of Berkeley AI Research (BAIR). She is interested in building reliable machine learning systems to support clinician needs and predict the onset of chronic diseases. Her research leverages electronic health records and multimodal medical data using techniques in clinical natural language processing, human-centered AI, causal inference, and machine learning. She received her master’s degree from the University of Pennsylvania, and bachelor’s degree from Claremont McKenna College. Her recent work has been published in EMNLP and ACM FAccT.
Machine Learning in Medicine, Clinical Natural Language processing, Causal inference, Human-centered AI, Time series