Jenna Wiens is an Assistant Professor in EECS at the University of Michigan. In the fall of 2014, she joined the CSE division after completing her PhD at MIT.

Professor Wiens primary research interests lie at the intersection of machine learning and medicine. She especially enjoys solving the technical challenges that arise when considering the practical application of machine learning in clinical settings. Currently, she is focused on developing accurate patient risk stratification approaches that leverage data across time and space, with the ultimate goal of reducing the rate of healthcare-associated infections among patients admitted to hospitals in the US.

In addition to this work, Professor Wiens had the privilege of working with a unique dataset from the NBA. Recently, Professor Wiens had a lot of fun applying many of the same techniques we use in the medical work to the world of sports analytics. In general, she enjoys tackling the challenges that develop when working with large complex datasets.