Trevor Bedford, Ph.D.

FACULTY MEMBER

Trevor Bedford, Ph.D.

Associate Member
Vaccine and Infectious Disease Division, Fred Hutch

Associate Member
Public Health Sciences Division, Fred Hutch

Fax: 206.667.4812
Mailstop: M1-B514

Dr. Trevor Bedford uses powerful computers and complex statistical methods to study the rapid spread and evolution of viruses. Data gathered from these processes help researchers develop successful strategies for monitoring and controlling infectious diseases. His visual representations of viral family trees are used to show how the fate of dangerous outbreaks is often determined by the genetics of the infectious agent, human behavior and geography. Dr. Bedford has applied these techniques to document the worldwide spread of seasonal flu viruses. He is developing models to predict which strains of influenza are likely to be most challenging to humans — data that help inform the crucial early decisions about which strains to include in annual flu shots. He specializes in tracking the evolutionary changes of viruses such as HIV and influenza that use RNA, rather than DNA, to carry their genetic information. RNA viruses are much more prone to rapid mutation, which makes many of them particularly nimble at escaping the human immune system and difficult to stop with vaccines. He is a leading advocate for the immediate release of research analyzing viral evolution during epidemics, fresh information that could make a lifesaving difference.

Education

Harvard University, 2008, Ph.D. (Biology)

University of Chicago, 2002, B.A. (Biological Sciences)

Research Interests

Computational molecular evolution

Phylogenetics

Infectious disease epidemiology

Antigenic evolution and immune dynamics

Bayesian statistics

Current Projects

Antigenic cartography to characterize virus diversity and evolution

Phylogeographic methods to quantify virus circulation patterns

Inference of epidemiological parameters from viral sequence data

Methods to assess fitness and predict evolutionary growth or decay across strains

Teaching/Mentoring Interests

Sequence analysis

Modeling infectious disease dynamics

Computational Bayesian inference

Find a Clinical Trial

Dr. Bedford in the News

Forecasting the shape of flu viruses to come

Hutch News - October 16, 2018

Scanning hemagglutinin to predict the future of flu

Science Spotlight - October 15, 2018

From camels to humans: this is how MERS do it

Science Spotlight - March 19, 2018

MERS remains primarily a camel virus — for now

Hutch News - January 16, 2018

For the Media

The Media Relations team at Fred Hutch is available to assist members of the news media who would like to arrange interviews with faculty.

Email media@fredhutch.org or call 206.667.2210.