Nitin Baliga , PhD
Email: nbaliga@systemsbiology.org
Phone: (206) 732-1266
Dr. Baliga leads a group which builds predictive models of complex biological phenomena that can be used to guide cells in the fight against disease, they have established numerous collaborations to apply this methodology to wide-ranging problems from climate change to cancer. In ongoing research, Dr. Baliga is applying advanced methods to the study of brain cancer (glioblastoma multiforme) to gain insights into human disease to improve prevention, diagnosis, prognosis and treatment.
J David Beatty , MD
Email: David.beatty@swedish.org
Phone: (206) 320-4880
Dr. Beatty's practice and academic activities have been focused on breast cancer. His clinical practice emphasizes management of patients with complex breast care and breast cancer problems. His surgical expertise includes breast biopsy, minimally invasive technology, ultrasound guided procedures, sentinel node localization and biopsy, breast conserving surgery, oncoplastic surgery, axillary preserving surgery, image guided surgery, balloon catheter placement for partial breast irradiation, bloodless surgery, and integration of surgery and multidisciplinary care.
Trevor Bedford , PhD
Email: tbedford@fredhutch.org
Dr. Bedford studies the dynamics of virus populations. This includes the questions of how strains spread through the world, strains evolve in response to immune pressure, and ultimately what makes a strain successful.
Alice Berger , PhD
Email: ahberger@fredhutch.org
Phone: (206) 667-6281
The goal of the Berger laboratory is to enable precision medicine by systematically uncovering the molecular alterations in cancer, determining the function of these variant alleles, and understanding how these alleles modulate response to targeted or immune-based therapies. Although many of the genes involved in cancer have now been identified, a major challenge is discovering which specific alleles of these genes are involved and how these alleles modulate therapeutic response. We combine functional genomics, computational biology, biochemistry, and genetics to understand the mechanism of somatic cancer variants. Our goal is to identify drug targets and biomarkers and to translate this knowledge into clinical benefit for patients.
Jesse Bloom , PhD
Email: jbloom@fredhutch.org
Phone: (206) 667-3622
Dr. Bloom studies the molecular evolution of proteins and viruses. Rapid evolution is a defining feature of many of the most medically problematic viral diseases, including influenza. Although this rapid evolution is usually bad from the perspective of public health, it offers a unique vantage from which to study a range of important questions in biology. His group takes an evolutionary perspective as we use a combination of experimental and computational techniques to study questions in virology, immunology, and protein biochemistry.
Hamid Bolouri , PhD
Email: hbolouri@fredhutch.org
Phone: (206) 667-2748
Dr. Bolouri is interested in understanding how gene regulatory interactions control cellular state and identity, both in normal development and in diseases such as cancer. A particular focus of his lab is the development and use of integrative computational systems biology methods to map gene regulatory networks from whole genome data: currently they are working on identification of cis-regulatory sequence variations in childhood Acute Myeloid Leukemia.
Robert Bradley , PhD
Email: rbradley@fredhutch.org
Phone: (206) 667-5662
Dr. Bradley uses genomics, sequence analysis, and molecular genetics to study the mechanistic origins and phenotypic consequences of alternative splicing and other RNA processing. He wants to identify diseases where RNA processing plays important, and previously unrecognized, roles. His laboratory studies pre-neoplastic diseases and cancers such as brain, prostrate and breast cancer.
Brian Browning , PhD
Email: browning@uw.edu
Phone: (206) 685-8482
Dr. Browning's research is focused on the development of statistical and computational methods for analysis of large-scale genetic data from microarray genotyping and next-generation sequencing. These genetic data sets present computational and analytical challenges due to their size, and due to the complex patterns of inter-marker correlation in the data. Carefully engineered algorithms and software are necessary to extract the full information from these rich data sets.
Roger Bumgarner , PhD
Email: rogerb@u.washington.edu
Phone: (206) 732-6137
Dr. Bumgarner's research is focused on the creation of tools to connect expression data to biological meaning and the application of these tools to understanding host-virus interactions and the host innate immune response.
Chu Chen , PhD, NRCC, DABCC
Email: cchen@fredhutch.org
Phone: (206) 667-6644
Dr. Chen's research interests include the identification of 1) diagnostic and prognostic markers to aid personalized management of head and neck cancer based on gene expression profiles, loss of heterozygosity, DNA copy number, and tissue microarray data.; and 2) determinants for the susceptibility to and survival from cancers of the head and neck, lung, endometrium, breast, prostate and testes through investigations into lifestyle factors, endogenous and environmental exposures, and genetic and epigenetic influences.
James Dai , PhD
Email: jdai@fredhutch.org
Phone: (206) 667-6364
James Dai’s Lab works in statistical genetics and genomics, design and analysis of randomized clinical trials, statistical methods for high-dimensional feature selection and prediction, gene-treatment interaction, mediation and instrumental variables regression. Methodologically, his lab is also interested in cancer genomics topics, for example integrative genomic analyses and intra-tumor heterogeneity. The overarching scientific interest is to discover and validate and genomic markers that drive cancer etiology, predict cancer prognosis and treatment efficacy.
Jeff Delrow , PhD
Email: jdelrow@fredhutch.org
Phone: (206) 667-2763
Dr. Delrow is the director of the bioinformatics resource at Fred Hutch. His primary role is to support researchers who need assistance with the analysis of genomics and proteomics data.
Keith Eaton , MD, PhD
Email: kdeaton@u.washington.edu
Phone: (206) 288-7485
Dr. Eaton applies expert research knowledge to treating patients with lung cancer. His clinical expertise is in the areas of lung cancer, head and neck cancer, thyroid cancer, and cancer of unknown primary. His research interests include Immunotherapy and Targeted Therapies.
Paul Edlefsen , PhD
Email: pedlefse@scharp.org
Phone: (206) 667-4086
Dr. Edlefsen's research interests include statistical and computational methods for bioinformatics applications. He is also interested in statistical modeling techniques for genome science analysis.
Evan Eichler , PhD
Email: eee@gs.washington.edu
Phone: (206) 543-9526
Dr. Eichler's long term research goal is to understand the evolution, pathology and mechanism(s) of recent gene duplication and DNA transposition within the human genome. His work involves the systematic discovery of these regions, the development of methods to assess their variation, the detection of signatures of rapid gene evolution and ultimately the correlation of this genetic variation with phenotypic differences within and between species.
Min Fang , MD, PhD
Email: fangm@uw.edu
Phone: (206) 288-1390
Dr. Fang's research focus is on the genomics and combinatorial genetics/epigenetics of human neoplasia. She is combining classical genetic approaches of mapping, karyotyping, and functional genetics with new genomic tools including microarray, comparative genome hybridization, and next-generation sequencing, to identify genetic and epigenetic aberrations in cancer that may serve as actionable biomarkers for treatment decision making for individual patients.
Youyi Fong , PhD
Email: youyifong@gmail.com
Phone: (206) 667-1093
Dr. Fong's research interests are in statistical problems in biological assays, biological sequence analysis, and stochastic optimization.
David Fredricks , MD
Email: dfredric@fredhutch.org
Phone: (206) 667-1935
Dr. Fredricks's lab has identified several fastidious bacterial species that are useful markers of BV and are associated with adverse health outcomes. They are using novel cultivation methods to propagate some of these bacteria in the lab, and study how indigenous microbes interact with each other and the human host. He is currently looking for collaboration in molecular biology, microbiology, immunology, and cell biology. He is also looking for collaborators to focus on clinical epidemiology by studying microbial ecology in different human hosts.
Stephen Friend , MD, PhD
Email: friend@sagebase.org
Phone: (206) 667-2101
Dr. Stephen Friend is a world leader in efforts to make large scale, data-intensive biology more openly accessible to citizens and the entire research community in order to accelerate scientific progress. He is a co-founder of Sage Bionetworks, a nonprofit institute working to create an open-access Internet database for researchers worldwide to share their genomic data. Sage bionetworks is hosted by Fred Hutchinson Cancer research Center and its goal to build predictive models of cancer.