Event Detail

Event Type: 
Applied Mathematics and Computation Seminar
Date/Time: 
Friday, March 4, 2022 - 12:00 to 12:50
Location: 
ZOOM

Speaker Info

Institution: 
College of William and Mary
Abstract: 

The field of topology, and in particular computational homology, has produced a powerful set of tools for studying both model systems and spatial data measured directly from physical systems. I will focus on the tools of computational homology and topological persistence as a framework for quantifying structure and automating image processing. As illustration, we’ll apply these techniques to the study of firn, a region of porous, compacted snow of interest to climate scientists.

BIO:
Sarah Day received her Ph.D. in Mathematics from Georgia Tech in 2003 in the field of computational dynamics. Following postdoctoral positions at Vrije Universiteit in Amsterdam, Cornell University, and MSRI, she joined the Faculty of William & Mary where she is currently a Professor of Mathematics and the Director of the Computational & Applied Mathematics & Statistics (CAMS) Program. Her research interests include computational dynamics and topology with applications in the physical and life sciences.