Recorded 26 February 2026. Andrew Blumberg of Columbia University presents "Manifold Learning and Optimal Transport in Genomics, Pt. 1/2" at IPAM's Mathematics of Cancer: Open Mathematical Problems Workshop. Abstract: The purpose of this tutorial is to survey aspects of geometric data analysis that have seen substantial application in scientific inference from genomic data, with a particular focus on ideas coming from manifold learning (broadly construed) and closely related techniques from optimal transport. Learn more online at: https://www.ipam.ucla.edu/programs/workshops/mathematics-of-cancer-open-mathematical-problems/