When
Speaker: Eric Chirtel, Blake Bates, Program in Appied Mathematics
Title: Informational Meeting
Abstract: The applied topology and geometry reading group will learn about the geometric and topological concepts used to analyze and interpret complex data. These methods, for example the persistent homology algorithm used in topological data analysis, have been effectively utilized in diverse areas such as the analysis of high-dimensional datasets in biology and neuroscience or identifying patterns within financial markets. These methods are promising parts of the modern data science toolkit since they can robustly and with few assumptions capture multiscale geometric and topological features of data that traditional statistical methods may overlook. If you're interested in joining or learning more, please let us know and contact Blake Bates (blakebates@arizona.edu) or Eric Chirtel (ericc4@arizona.edu). The initial plan of the group will be to read through Edelsbrunner's textbook on computational topology and selected applications of TDA from the research literature. Meetings will be held weekly or biweekly with time and location tbd.