White Coat, Black Box: Augmenting Clinical Care with AI in the Era of Deep Learning
Dr. Jenna Wiens presents "White Coat, Black Box: Augmenting Clinical Care with AI in the Era of Deep Learning" as part of the IHPI Research Seminar Series.
The IHPI Research Seminar Series is a lecture-based program designed to share innovative health services research topics, studies, and programs, with clinicians, faculty, research staff, and students from a variety of disciplines.
Jenna Wiens is a Morris Wellman Assistant Professor of Computer Science and Engineering (CSE) at the University of Michigan in Ann Arbor. Her primary research interests lie at the intersection of machine learning, data mining, and healthcare. She is particularly interested in time-series analysis and transfer/multitask learning. The overarching goal of her research agenda is to develop the computational methods needed to help organize, process, and transform patient data into actionable knowledge. Jenna received her PhD from MIT in 2014. In 2015 she was named Forbes30 under 30 in Science and Healthcare; she received an NSF CAREER Award in 2016; and recently she was named to the MIT Tech Review's list of Innovators Under 35.