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 Areas

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)

MASCOT-Skyline integrates population and migration dynamics to enhance phylogeographic reconstructions.
(2025 Sep)
PLoS Comput Biol 21(9): e1013421
Müller NF, Bouckaert RR, Wu CH, Bedford T
Seasonal Influenza Viruses Show Distinct Adaptive Dynamics During Growth in Chicken Eggs.
(2025 Oct 1)
Mol Biol Evol 42(10):
Kistler K, Bedford T
Near real-time data on the human neutralizing antibody landscape to influenza virus to inform vaccine-strain selection in September 2025.
(2025 Sep 6)
bioRxiv
Kikawa C, Huddleston J, Loes AN, Turner SA, Lee J, Barr IG, Cowling BJ, Englund JA, Greninger AL, Harvey R, Hasegawa H, Ho F, Lacombe K, Leung NHL, Lewis NS, Peck H, Watanabe S, Smith DJ, Bedford T, Bloom JD
Characterizing the informativeness of pathogen genome sequence datasets about transmission between population groups.
(2025 Aug 11)
medRxiv
Tran-Kiem C, Perofsky AC, Lessler J, Bedford T
Viral introductions and return to baseline sexual behaviors maintain low-level mpox incidence in Los Angeles County, USA, 2023-2024.
(2025 Jun 7)
medRxiv
Paredes MI, Liang C, Suen SC, Holloway IW, Garrigues JM, Green NM, Bedford T, Müller NF, Osmundson J
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