Dr. Nathan Price is associate director and professor at ISB. He is also affiliate faculty in the Departments of Bioengineering, Computer Science and Engineering, and Molecular and Cellular Biology at the University of Washington. He is co-founder and on the board of directors of Arivale, which was named as Geekwire‘s 2016 “Startup of the Year.”
Dr. Price has won numerous awards for his scientific work, including a Howard Temin Pathway to Independence Award from the National Institutes of Health, a National Science Foundation CAREER award, a young investigator award from the Roy J. Carver Charitable Trust, and he was named as one of the inaugural “Tomorrow’s PIs” by Genome Technology and as a Camille Dreyfus Teacher-Scholar. Most recently, he received the 2016 Grace A. Goldsmith Award from the American College of Nutrition, given to a scientist under the age of 50 for significant achievements in the field of nutrition for his work in scientific wellness.
Dr. Price has published more than 100 peer-reviewed scientific publications and serves on editorial boards for many leading scientific journals including Science Translational Medicine and Cell Systems. Dr. Price served on the National Academy of Medicine committee to review omics-based tests to predict clinical outcomes in clinical trials. He also serves on scientific advisory boards for a number of companies and institutes including Habit (a personalized nutrition company), Trelys (a metabolic engineering company),Cleveland Clinic’s Center for Functional Medicine, the Novo Nordisk Foundation Center for Biosustainability, the P4 Medicine Institute, the University of Washington’s Public Health Genomics Institute, the UW Multidisciplinary Learning Disability Center, and the DOE ENIGMA program at UC Berkeley/LBNL/MIT. He is also a fellow of the European Society of Preventive Medicine.
For more information, please see the Hood-Price Lab Website
PhD, Bioengineering University of California, San Diego, 2005
Computational biology, biological networks, genome-scale models, translational bioinformatics
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