M. Elizabeth Halloran, MD, MPH, DSc
Professor and Head of Biostatistics, Bioinformatics and Epidemiology Program
Vaccine and Infectious Disease Division, Fred Hutch
Professor
Public Health Sciences Division, Fred Hutch
Member
Translational Data Science Integrated Research Center (TDS IRC), Fred Hutch
Dr. Elizabeth "Betz" Halloran is a world leader in using mathematical and statistical methods to study infectious diseases and a pioneer in the design and analysis of vaccine studies. She is director of the Center for Inference and Dynamics of Infectious Diseases. Headquartered at Fred Hutch, this center helps the federal government understand and prepare for infectious-disease outbreaks. She is also head of the Program in Biostatistics, Bioinformatics and Epidemiology in Fred Hutch’s Vaccine and Infectious Disease Division. Her work is used to develop strategies to stop outbreaks of serious global threats such as Zika virus disease, Ebola virus disease, influenza, COVID-19, cholera and dengue fever.
Halloran was elected to the National Academy of Medicine in 2019 for pioneering the development of statistical methods and modeling for evaluating vaccines in populations, and contributions to evaluating direct and indirect effects of vaccines and improving design and analysis of vaccine studies.
Other Appointments & Affiliations
Professor and Graduate Faculty, Department of Biostatistics and Department of Epidemiology, University of WashingtonProfessor and Graduate Faculty, Department of Biostatistics and Department of Epidemiology
University of Washington
Adjunct Professor, Department of Applied Mathematics
University of Washington
Director and Founder, Summer Institute in Statistics and Modeling in Infectious Diseases
University of Washington
Member
National Academy of Medicine
Education
Harvard University, Population Sciences, 1989, DSc
Harvard University, Tropical Public Health, 1985, MPH
Freie Universitat Berlin, 1983, MD
University of Oregon, 1972, BSc (General Science)
Research Interests
Design and evaluation of vaccine field trials
Modeling infectious disease dynamics and strategies for mitigation and control
Causal inference in infectious diseases
Evaluating surrogates of protection
Current Projects
Methods for evaluating vaccine efficacy
Containing Bioterrorist and Emerging Infectious Diseases
Causal Inference for Infectious Disease Studies
Summer Institute in Statistics and Modeling in Infectious Diseases