Faculty


$IMG_6453-1$	Philip Boyland Dynamical Systems, Classical and Fluid Mechanics
	Peter Bubenik My research is on applied topology and more specifically, topological data analysis, which studies the shape of data. More precisely, it consists of combining ideas from topology, statistics and machine learning to develop new tools for summarizing and visualizing large, complex, high-dimensional data; developing a general framework which quantifies topological changes using ideas from algebraic topology, algebra and category theory; and working with collaborators to use these ideas to analyze data.
	Luca Di Cerbo Differential and Algebraic Geometry, Geometric Topology
$dranishnikov$	Alexander Dranishnikov Geometry and Topology: Coarse geometry, Geometric Group Theory, Coxeter groups, Cohomological dimension, Topology of manifolds, LS-category, Topological robotics.
	David Groisser Differential geometry, Global analysis, Gauge theory, Applications of differential geometry to image-analysis

$kpk$	Kevin Knudson Computational topology, discrete Morse theory, homology of linear groups, undergraduate education
$Image92$	Yuli Rudyak Algebraic Topology, Differential Topology, Symplectic Topology
	Hubert Wagner Data Science