Chair and Vijay Nair Collegiate Professor of Statistics
About
Liza Levina received her PhD in Statistics from UC Berkeley in 2002 and joined the University of Michigan the same year. Her research interests include networks, high-dimensional data, and sparsity. She has worked on estimating large covariance matrices, graphical models, and other topics in inference for high-dimensional data. She also works on statistical inference for network data, including problems of community detection and link prediction. Her research covers methodology, theory, and applications, especially to spectroscopy, remote sensing and, in the past, computer vision. She received the junior Noether Award from the ASA in 2010 and was elected a member of ISI in 2011.
