Explore tumor phylogeny inference from single-cell datasets in this lecture by Hamim Zafar, part of the "Theoretical Approaches in Cancer Progression and Treatment" program. Delve into advanced techniques for understanding cancer evolution using mathematical and computational approaches. Learn how single-cell data can be leveraged to reconstruct tumor phylogenies, providing insights into cancer progression and heterogeneity. Gain knowledge on state-of-the-art methods for interpreting and utilizing high-resolution sequencing data in cancer research. This lecture contributes to a comprehensive workshop bringing together experts from various fields of theoretical cancer research, aiming to enhance understanding and develop novel approaches to combat this complex disease.