Karen (Lujie) Chen
Karen Chen is a third-year Ph.D. student at the Heinz College of Information Systems and Public Policy.
Before she joined the program, she was a researcher associated with Auton Lab (www.autonlab.org) at Carnegie Mellon. In the last about ten years, together with team of result driven people at lab, she developed analytical solution to address problems in medical informatics, public health and food safety. She is interested in leveraging a variety of method including data mining, machine learning and statistical analysis that can help to get insight from massive amount of data, and ultimately improve decision making.
Her PhD research in the last two years has focused on predicting patient instability in critical care units using densely sampled vital sign signals. Her second interest is in educational data mining and learning analytics for fine-grained learner behavior data when they interact with online learning environment, intelligent tutor or human tutor. She is the fellow of Program in Interdisciplinary Education Research (PIER) (http://www.cmu.edu/pier/) funded by Institute of Education Science.