Department of Statistics and the College
Zheng Tracy Ke’s research is centered in the study of large-scale sparse inference, in which the focus is the analysis of big data through the exploitation of sparsity. This is a natural phenomenon found in many large-scale data sets, such as those relating to genetics and genomics, cosmology and astronomy, and wavelet image processing. There are many types of sparsity, including signal sparsity, graph sparsity, and sparsity in eigenvalues and eigenvectors.
Ke is the co-author of several forthcoming publications, including “Covariate Assisted Screening and Estimation” (Annals of Statistics) and “Homogeneity Pursuit” (Journal of the American Statistical Association). She is a recipient of the Gordon Y. S. Wu Fellowship from Princeton University and the Ye Qisun Award, which is Tsinghua University’s most prestigious award for undergraduate students in physics.
Ke earned an MA in operations research and financial engineering and a PhD in statistics from Princeton University.
Ke joined the University of Chicago faculty in 2014.