- Artificial Intelligence and Machine Learning with a focus on variable selection methods, Bayesian networks, and application of these topics to other domains
Laura has a background in Engineering – B.S. from Swarthmore College, Computer Science – M.S.E. from University of Michigan and Biomedical Informatics – M.S. and Ph.D. from Vanderbilt University.
Her broad research interests are in the areas of artificial intelligence, machine learning, and data mining. Projects are aimed at both theoretical topics in these areas as well as the application of techniques to other domains (e.g., clinical medicine, biology, electrical power systems, microgrids, computer systems, etc.).
Through her research activities and collaborations across campus, Laura is a member of the Institute of Computing and Cybersystems (ICC) and the Center for Agile Interconnected Microgrids (AIM). She also serves on the executive committee and program faculty for the Data Science M.S. degree and graduate certificate program.