Recorded 24 February 2026. Ben Raphael of Princeton University presents "Models and Algorithms for Cancer Evolution, Pt. 1/2" at IPAM's Mathematics of Cancer: Open Mathematical Problems Workshop. Abstract: Cancer arises through the accumulation of genetic and epigenetic alterations in the cells of a tissue. This tutorial will describe models and algorithms to address some of the challenges that arise in inferring cancer evolution from high-throughput DNA/RNA sequencing data. These challenges include: deconvolving mixtures of mutations from sequencing of bulk tumor sampling, addressing high rates of error and missing data in single-cell sequencing, modeling copy number aberrations that alter large genomic regions, and leveraging information from regional, spatial and longitudinal sampling. Learn more online at: https://www.ipam.ucla.edu/programs/workshops/mathematics-of-cancer-open-mathematical-problems/