{"id":3646,"global_id":"colleges.claremont.edu\/ccms?id=3646","global_id_lineage":["colleges.claremont.edu\/ccms?id=3646"],"author":"248","status":"publish","date":"2025-01-24 20:34:28","date_utc":"2025-01-25 04:34:28","modified":"2025-03-03 10:38:23","modified_utc":"2025-03-03 18:38:23","url":"https:\/\/colleges.claremont.edu\/ccms\/event\/ccms-colloquium-iris-yoon-wesleyan-university\/","rest_url":"https:\/\/colleges.claremont.edu\/ccms\/wp-json\/tribe\/events\/v1\/events\/3646","title":"CCMS Colloquium: (Iris Yoon, Wesleyan University)","description":"

Speaker: <\/strong>Iris Yoon, Professor of Mathematics, Wesleyan University<\/p>\n

Title:<\/strong> How\u00a0Topology\u00a0Reveals Structure in Neuroscience Data<\/p>\n

Abstract: <\/strong>We live in an exciting time where new data is generated at an exponential rate. Such data explosion necessitates the development of novel methods for studying large, noisy, and complex data. One interesting aspect of data is its shape and structure. In this talk, I will discuss recent developments in applied\u00a0topology\u00a0that studies the structure of data. In particular, I will show\u00a0how\u00a0constructions in\u00a0topology, such as homology and Dowker complexes, reveal interesting structures in data. I will discuss the mathematical challenges of extending\u00a0these constructions to data science, specifically in neuroscience.<\/p>\n

Bio<\/strong>: Iris Yoon is an assistant professor of mathematics at Wesleyan University. She develops novel applications of algebraic topology to data science.<\/p>\n

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