Ben Raphael (Princeton)
“Quantifying Tumor Heterogeneity using Single-cell and Spatial Sequencing”
Background
https://engineering.princeton.edu/faculty/ben-raphael
Ben Raphael is a Professor of Computer Science at Princeton University. His research focuses on the design of combinatorial and statistical algorithms for the interpretation of biological data. Recent areas of emphasis include cancer evolution, network/pathway analysis of germline and somatic mutations, single-cell and spatial DNA/RNA sequencing, and structural variation in human and cancer genomes. His group’s algorithms have been used in multiple projects from The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC). He received an S.B. in Mathematics from MIT, a Ph.D. in Mathematics from the University of California, San Diego (UCSD), completed postdoctoral training in Bioinformatics and Computer Science at UCSD, and was on the faculty of Brown University (2006-2016). He is a recipient of the 2021 Innovator Award from the International Society for Computational Biology, the Alfred P. Sloan Research Fellowship, the NSF CAREER award, and a Career Award at the Scientific Interface from the Burroughs Wellcome Fund. He is elected Fellow of the International Society for Computational Biology (2020).