Topological Machine Learning: From Drug Discovery to Cancer Detection

Topological machine learning applies ideas from topology to extract stable, multiscale summaries of structure in complex data. This talk introduces core tools through intuition and simple visuals, then highlights applications in drug discovery and cancer detection from histopathology.

Baris Coskunuzer is a Professor of Mathematics at the University of Texas at Dallas and leads the Topological Machine Learning Group. His research bridges geometry, topology, and artificial intelligence, with recent work on graph learning and medical image analysis.