Herbold Computational Biology Program

Faculty

Alphabetical Listing:

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Characterizes virus diversity, evolution, circulation patterns. Identifies epidemiological patterns from sequence data and develops methods to predict evolutionalry growth or decay across strains.
Phone: (206) 667-6372
Associate Member, Basic Sciences Division
Molecular evolution of viruses and proteins
Phone: (206) 667-3622
Fax: (206) 667-6525
Phone: (206) 667-7041
Fax: (206) 667-1319
Associate Member, Basic Sciences Division
Alternative splicing and RNA processing
Phone: (206) 667-5662
Fax: (206) 667-1319
Affiliate Assistant Professor, Biostatistics, University of Washington
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 biologyand such as development of new informatics methods in genomics and post-genomics
Phone: (206) 667-4086
Fax: (206) 667-4378
Affiliate Associate Professor, Statistics, University of Washington
Developing methods and tools for high throughput, high dimensional experiments with applications in vaccine research and immunology; flow cytometry, peptide microarrays, next generation sequencing; Bayesian inference and computation and statistical computing
Phone: (206) 667-4076
Fax: (206) 667-4378
Phone: (206) 667-4282
Fax: (206) 667-7004
Phone: (206) 667-7318
Fax: (206) 667-1319
Program Head, Computational Biology, Public Health Sciences Division
Research is computationally based and focuses on the adaptive immune system and its response to viral infection, with HIV a particular area of interest. Taking advantage of new high-throughput sequencing technology, in collaboration with experimental groups, we are isolating and sequencing millions of t-cell receptor VDJ rearrangements from different clonotypes
Phone: (206) 667-2571
Fax: (206) 667-1319
Assistant Member, Basic Sciences Division
Nutrient signaling and regulation of protein synthesis