Computational Topology and Topological Data Analysis

Friday, October 30, 2015: 3:15 PM-4:45 PM
Baltimore 3-4 (Gaylord National Resort And Convention Center)
Chairs:
Dagan Karp, PhD, Associate Professor, Harvey Mudd College , Robin Wilson, PhD, Associate Professor, California State Polytechnic University, Pomona and Mariel Vazquez, PhD, Professor, San Francisco State University

Description: Topological Data Analysis provides tools to study the shape of noisy data. Features such as holes and voids are meaningful, as is the persistence of such topological features.  In this session we will provide an introduction to topological data analysis and several examples of concrete high-impact applications. All are welcome!



3:15 PM
The shape of data
Jose Perea, PhD , Associate Professor , Duke University
3:35 PM
Applying topological data analysis
Isabel Darcy, PhD , Assistant Professor , University of Iowa
3:55 PM
Complicated triangulations and breast cancer research
Mimi Tsuruga, PhD in Progress , Postdoctoral Researcher , UC Davis
4:15 PM
Informational robustness of the hippocampal spatial map
Facundo Memoli, PhD , Ohio State University