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Biomedical Informatics and Medical Education > All BIME Core & Extended Faculty > Justin Guinney
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Justin Guinney, PhD

  • Associate Professor
  • Affiliate
  • BHI

jguinney@uw.edu

Interests:

Heterogeneity of colorectal cancer, precision oncology, computational methods for cancer biology, open science and DREAM challenges, and biological aging.

Background:

Justin Guinney is the Senior Vice President of Computational Biology and Cancer Genomics at Tempus AI where he leads research and development of precision oncology models using Tempus’s large multimodal database. Prior to Tempus, Dr. Guinney was the Vice President of Computational Oncology and principal investigator at the non-profit research institute Sage Bionetworks where his lab focused on the development of diagnostic, prognostic, and predictive models of disease. Among his lab’s notable accomplishments are the development of the Consensus Molecular Subtypes of colorectal cancer, the first methylomic biological clock of human aging, and the popular Geneset Variation Analysis (GSVA) tool. His lab also supported data and analytics of several large cancer consortia including the Cancer Genome Atlas (TCGA), the NCI Human Tumor Atlas Network (HTAN), and AACR Project GENIE. Dr. Guinney retains positions as an Affiliate Associate Professor at the University of Washington, and Director of the DREAM Challenges. In this latter role, Dr. Guinney organized data and AI challenges for benchmarking methods in biomedicine and bioinformatics. Dr. Guinney received a BA in history & pre-medicine from the University of Pennsylvania, a BS in electrical engineering from the University of Illinois Urbana-Champaign, and a PhD in computational biology and bioinformatics from Duke University.

Representative publications:

  1. Guinney J and Saez-Rodriguez J (2018) Alternative models for sharing sensitive biomedical data, Nature Biotechnology.
  2. Guinney J, Wang T, Laajala T, et al, (2017) A prognostic model to predict overall survival for patients with metastatic castration-resistant prostate cancer: results from a crowdsourced challenge using retrospective, open clinical trial data, Lancet Oncology.
  3. Guinney J, Dienstmann R, et al, (2015) The Consensus Molecular Subtypes of Colorectal Cancer, Nature Medicine.
  4. Dienstmann R, Jang IS, Bot B, Friend S, and Guinney J (2015) Database of genomic biomarkers for cancer drugs and clinical targetability in solid tumors, Cancer Discovery.