Faculty

Trevor Bedford

Affiliate Professor, Epidemiology
Affiliate Professor, Genome Sciences


Education

PhD Biology, Harvard University, 2008
BA Biological Sciences, University of Chicago, 2002

Contact


Fred Hutch Cancer Center
Box M2-C200
Arnold Building Room M1-B861
1100 Fairview Ave N
Seattle, WA 98109
WA

Bio

Trevor Bedford is an Assistant Member at the Fred Hutchinson Cancer Research Center affiliated with the Vaccine and Infectious Disease Division and with the Computational Biology Program.

Research Interests

Dr. Bedford works at the interface of evolution, epidemiology and immunology. His research applies computational and statistical methods to understand viral dynamics. He is interested in using pathogen sequence data to make detailed inferences of pathogen transmission patterns. Previous research has focused on understanding antigenic drift in influenza virus, geographic spread of Ebola and within-host evolution of HIV.

Recent Publications (PubMed)

Near real-time data on the human neutralizing antibody landscape to influenza virus as of early 2026 to inform vaccine-strain selection.
(2026 Feb 19)
bioRxiv
Kikawa C, Huddleston J, Turner SA, Loes AN, Liu J, Gang S, Griffiths T, Drapeau EM, Cowling BJ, Ho F, Leung NHL, Englund JA, Lacombe K, Watanabe S, Hasegawa H, Busch M, Lanteri M, Stone M, Spencer B, Neher RA, Smith DJ, Bedford T, Hensley SE, Bloom JD

High-throughput neutralization measurements correlate strongly with evolutionary success of human influenza strains.
(2026 Feb 23)
Elife 14():
Kikawa C, Loes AN, Huddleston J, Figgins MD, Steinberg P, Griffiths T, Drapeau EM, Peck H, Barr I, Englund JA, Hensley SE, Bedford T, Bloom JD

Nomenclature for Tracking of Genetic Variation of Seasonal Influenza Viruses.
(2026 Feb)
Influenza Other Respir Viruses 20(2): e70230
Neher RA, Huddleston J, Bedford T, Lewis NS, Harvey R, Galiano M, Byrne AMP, James S, Smith D, Łuksza M, Ruchnewitz D, Laessig M, Fujisaki S, Watanabe S, Hasegawa H, Hassell N, Wentworth DE, Kondor R, Deng YM, Dapat C, Subbarao K, Barr I

Timely vaccine strain selection and genomic surveillance improve evolutionary forecast accuracy of seasonal influenza A/H3N2.
(2025 Dec 4)
Elife 14():
Huddleston J, Bedford T

Quantifying plasmid movement in drug-resistant Shigella species using phylodynamic inference.
(2025 Dec)
PLoS Pathog 21(12): e1013621
Müller NF, Wick RR, Judd LM, Williamson DA, Bedford T, Howden BP, Duchêne S, Ingle DJ

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