Faculty

Trevor Bedford

Affiliate Professor, Epidemiology
Affiliate Professor, Genome Sciences


tbedford@fredhutch.org

Education

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

Contact


tbedford@fredhutch.org

Fred Hutchinson Cancer Research 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)

An atlas of continuous adaptive evolution in endemic human viruses.
(2023 Nov 8)
Cell Host Microbe 31(11): 1898-1909.e3
Kistler KE, Bedford T

Antigenic drift and subtype interference shape A(H3N2) epidemic dynamics in the United States.
(2023 Oct 3)
medRxiv
Perofsky AC, Huddleston J, Hansen C, Barnes JR, Rowe T, Xu X, Kondor R, Wentworth DE, Lewis N, Whittaker L, Ermetal B, Harvey R, Galiano M, Daniels RS, McCauley JW, Fujisaki S, Nakamura K, Kishida N, Watanabe S, Hasegawa H, Sullivan SG, Barr IG, Subbarao K, Krammer F, Bedford T, Viboud C

Early underdetected dissemination across countries followed by extensive local transmission propelled the 2022 mpox epidemic.
(2023 Oct 5)
medRxiv
Paredes MI, Ahmed N, Figgins M, Colizza V, Lemey P, McCrone JT, Müller N, Tran-Kiem C, Bedford T

Fitting stochastic epidemic models to gene genealogies using linear noise approximation.
(2023 Mar)
Ann Appl Stat 17(1): 1-22
Tang M, Dudas G, Bedford T, Minin VN

Joint visualization of seasonal influenza serology and phylogeny to inform vaccine composition.
(2023)
Front Bioinform 3(): 1069487
Lee J, Hadfield J, Black A, Sibley TR, Neher RA, Bedford T, Huddleston J

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