Susan Holmes is a distinguished Professor of Statistics at Stanford University. She is a Fellow of several prestigious institutes, including the Fields Institute and the Institute for Mathematical Statistics. Her research focuses on complex biological data analysis, integrating phylogenetic trees, interaction graphs, and metabolic networks with sequencing data and clinical factors. She employs computational statistics methods like the bootstrap and MCMC to explore topics such as immune system-cancer interactions, human microbiome resilience, and HIV drug resistance. She is committed to teaching using tools like R and BioConductor and sharing her work openly.