Elizabeth Munch

Elizabeth Munch is an Associate Professor at Michigan State University with appointments in the Department of Computational Mathematics, Science and Engineering and the Department of Mathematics. Her research focuses on Applied Topology and Topological Data Analysis (TDA), with applications across biology, neuroscience, and dynamical systems.

• PhD in Mathematics, Duke University (2013)
• Previous roles: Assistant Professor at University at Albany - SUNY, Postdoctoral Fellow at University of Minnesota's IMA

Her work leverages TDA to study complex data in plant morphology, neural activity, and network dynamics. Recent publications highlight advancements in mapper graphs, persistent homology, and geometric deep learning.

Selected awards include the 2022 NSF CAREER award. She teaches courses in TDA (CMSE 890) and optimization (CMSE 382) and co-organizes the MSU TDA Seminar.