Ben Raphael
Scholar

Ben Raphael

Google Scholar ID: GhvZjJUAAAAJ
Professor of Computer Science, Princeton University
BioinformaticsComputational BiologyGenomicsComputational Cancer Biology
Citations & Impact
All-time
Citations
38,087
 
H-index
57
 
i10-index
119
 
Publications
20
 
Co-authors
16
list available
Resume (English only)
Academic Achievements
  • Fellow, Association for Computing Machinery (ACM), 2024
  • Test of Time Award, RECOMB Conference, 2023
  • Test of Time, Runner Up, RECOMB Conference, 2022
  • Innovator Award, International Society for Computational Biology (ISCB), 2021
  • Best Paper, Runner Up, RECOMB Conference, 2021
  • Fellow, International Society for Computational Biology (ISCB), 2020
  • AACR Team Science Award, 2020
  • Best Paper, RECOMB Conference, 2013
  • NSF CAREER Award, 2011
  • Sloan Research Fellowship in Computational & Evolutionary Molecular Biology, 2010–2012
Research Experience
  • Joined Princeton University as Professor of Computer Science in 2016
  • Previously served on the faculty at Brown University in the Department of Computer Science and the Center for Computational Molecular Biology (CCMB) for a decade (approx. 2006–2016)
  • Directed the CCMB at Brown University from 2013 to 2016
  • Associated Faculty at Princeton’s Lewis-Sigler Institute for Integrative Genomics, Omenn-Darling Bioengineering Institute, and Center for Statistics and Machine Learning
  • Affiliate Faculty at Rutgers Cancer Institute of New Jersey, Irving Institute for Cancer Dynamics (Columbia University), and New York Genome Center
Background
  • Research focuses on the design and application of computational methods to analyze large-scale biological data
  • His group employs diverse computational approaches including combinatorial optimization, graph algorithms, machine learning, and statistical methods
  • Recent research emphases include cancer evolution, network/pathway analysis of genetic variants, and structural variation in human and cancer genomes
  • His algorithms have been used in multiple projects from The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC)
  • Co-led the TCGA Pancreatic Adenocarcinoma project and the network analysis in the ICGC Pan-Cancer Analysis of Whole Genomes (PCAWG)
  • Professor of Computer Science at Princeton University, with affiliated faculty appointments across multiple interdisciplinary institutes