Part 1: A journey through space
Part 2: Data visualization for immuno-oncology
As spaces are limited, participation requires registration. Please register here to attend. Everyone is welcome.
Coffee and refreshments will be served from 8:30
Read more about Aaron Newman at the Newman group webpage
Short bio
Aaron Newman is an Associate Professor in the Department of Biomedical Data Science at Stanford University and a Chan Zuckerberg Biohub Investigator. He is also a member of the Stanford Cancer Institute and the Stanford Institute for Stem Cell Biology and Regenerative Medicine. Dr. Newman has made significant contributions to computational biology with applications to liquid biopsy, cancer genomics, and tumor immunology. Key contributions include CAPP-Seq for ultrasensitive detection of circulating tumor DNA; CIBERSORT/x for decoding cellular composition from bulk genomic data; CytoTRACE/2 for inferring cellular differentiation states from scRNA-seq data; and EcoTyper for delineating context-dependent cellular ecosystems from bulk, single-cell, and spatial expression data. His research program focuses on developing innovative data science tools to study the phenotypic diversity, differentiation hierarchies, and clinical significance of tumor cells and their surrounding microenvironments. Key results are further explored experimentally, both in the lab and through collaboration, with the goal of translating promising findings into the clinic.