Paul Edlefsen, PhD
Principal Staff Scientist, Biostatistics, Bioinformatics and Epidemiology Program
Vaccine and Infectious Disease Division, Fred Hutch
Statistical and computational methods for bioinformatics applications, statistical modeling for genome sequence analysis and statistical modeling frameworks. The interface between computer science, statistics, and molecular biology and such as development of new informatics methods in genomics and post-genomics.
Education
Harvard University, 2009, PhD (Statistics)
Harvard University, 2005, AM (Statistics)
Wesleyan University, 2000, BA (Computer Science)
Research Interests
Statistical and computational methods for bioinformatics applications
Statistical modeling for genome sequence analysis
Frequentist, Bayesian, and Dempster-Shafer statistical modeling frameworks
The interface between computer science, statistics, and molecular biology, such as development of new informatics methods in genomics and post-genomics
Current Projects
Sieve analysis of HIV vaccine trials
Methods for parameter estimation of profile hidden Markov models of genomic sequence families
Nonparametric Dempster-Shafer models
Dilution assay copy number identification
Teaching and Mentoring Interests
Workshops and courses on statistics, sieve analysis, and profile HMMs
Proactive students with strong computational and/or statistical skills and a desire to work in an applied bioinformatics setting