Elizabeth S. Meckes is Professor of Mathematics at Case Western Reserve University, Ohio. She is a mathematical probabilist specializing in random matrix theory and its applications to other areas of mathematics, physics and statistics. She received her Ph.D. at Stanford University in 2006 and received the American Institute of Mathematics five-year fellowship. She has also received funding from the Clay Institute of Mathematics, the Simons Foundation, and the US National Science Foundation. She is the author of twenty-two research papers in mathematics, as well as the textbook Linear Algebra (Cambridge, 2018), co-authored with Mark Meckes.
1. Haar measure on the classical compact matrix groups
2. Distribution of the entries
3. Eigenvalue distributions: exact formulas
4. Eigenvalue distributions: asymptotics
5. Concentration of measure
6. Geometric applications of measure concentration
7. Characteristic polynomials and the zeta function.