In the fall of 2014, she joined the CSE division after completing her PhD at MIT in June 2014. Professor Wiens's primary research interests lie at the intersection of machine learning and medicine. The proliferation of electronic medical records holds out the promise of using machine learning and data mining to build models that will help health care providers improve patient outcomes. Wiens’s research focuses on developing such methods to organize, process and transform these data into actionable knowledge. Broadly, her work borrows from and improves upon techniques in time-series analysis, transfer learning, multitask learning, active learning and other supervised and unsupervised learning techniques.