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Neil Abernathy , PhD

Email: neila@u.washington.edu

Phone: (206) 616-2813

Dr. Abernathy's current research interests are public health informatics standards, epidemic models, and molecular epidemiology in the context of global health; scientific and social networks as they pertain to collaborative research; novel 3-D imaging displays; Environmental interventions for infectious disease; high-throughput biology; and evolutionary game theory.

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Steve Andrews , PhD

Email: sandrews@fredhutch.org

Phone: (206) 667-7007

Dr. Andrews's research is in the interdisciplinary field of systems biology. His interests are in the combination of physics, chemistry, and biology methods to investigate organization within biological systems, on size scales that typically range from a few proteins to many cells. Results are yielding insights into how the highly structured macroscopic world of living organisms is built from the stochastic microscopic world of individual molecules. He is also providing an improved conceptual foundation for medical and biotechnology developments, with impacts on topics such as drug discovery, personalized medicine, biofuel generation, and bioremediation.

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Cecilia Aragon , PhD

Email: aragon@uw.edu

Phone: (206) 543-2567

Dr. Aragon's current research focuses on visual analytics, data science, collaborative creativity, emotion in text communication, text analytics, and the study of socio-technical systems including online text communication and social media. Her research group both develops software for and produces qualitative studies relating to the socio-technical aspects of data science with a focus on very large text data sets. Some of her other projects include the use of computer gaming for collaborative science and engineering learning and discovery, and topics related to usability and sustainability.

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Wyeth Bair , PhD

Email: wyeth0@uw.edu

Phone: (206) 221-8241

Dr. Bair's group integrates computational modeling and electrophysiology to study neural coding and cortical circuitry in the visual system. A primary focus of his work is the visual motion pathway. He is currently developing several integrated online resources to carry out his goals. These include the Neural Signal Archive, which contains neuronal data for public access; the Working Models site, which provides access to network models of the visual system; and the data system, which is a set of utilities for storing and analyzing spike trains.

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Geoffrey Baird , MD, PhD

Email: gbaird@uw.edu

Phone: (206)744-9787

Dr. Baird's clinical interests include laboratory test utilization, molecular diagnostics, proteomics and immunohistochemistry. His group has developed a new proteomic technology for biomarker discovery in a range of diseases such as malignancies, cardiovascular disorders, and inflammatory conditions. One application of their technology is to discover protein expression changes associated with non-small cell lung cancer that have implications for diagnosis and treatment.

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Magdalena (Magda) Balazinska , PhD

Email: magda@cs.washington.edu

Phone: (206) 616-1069

Dr. Balazinska's research interests are in the field of database management systems. Her current research focuses on big data management, scientific data management, and cloud computing.

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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.

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Aasthaa Bansal , PhD

Email: abansal@uw.edu

Phone: (206) 427-5448

Dr. Bansal's research interests include the statistical evaluation of biomarkers and medical tests for disease prognosis and treatment selection. In addition to her background developing statistical methodology, she was involved in collaborative research at the Center for Biomedical Statistics from 2009 to 2013. While there, Bansal worked with academic investigators on the statistical analysis of studies in colon cancer screening, esophageal cancer treatment, institutional profiling, chronic illness management and juvenile arthritis.

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Trevor Bedford , PhD

Email: tbedford@fredhutch.org

Phone: (206) 667-6372

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.

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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.

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Slobodan Beronja , PhD

Email: beronja@fredhutch.org

Phone: (206) 667-7609

Dr. Beronja's group studies molecular and cellular mechanisms essential for tissue growth during development and the formation of tumors. His goal is to identifying genes and gene pathways that can be used as targets in cancer therapy.

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Parveen Bhatti , PhD

Email: pbhatti@fredhutch.org

Phone: (206) 667-7803

Dr. Bhatti's research focus is on occupational and environmental epidemiology of cancer with a focus in biomarkers of exposure, susceptibility and disease; particularly genetic susceptibility to cancer following low dose exposure to occupational or medical ionizing radiation.

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C. Anthony (Tony) Blau , MD

Email: tblau@u.washington.edu

Phone: (206) 685-6873

Dr. Blau specializes in orchestrating collaborations across disparate scientific disciplines toward grand goals. As a physician-scientist he believes that our approach to cancer needs to be fundamentally restructured, and for this reason founded the UW's Center for Cancer Innovation (CCI). CCI applies the latest scientific knowledge to the treatment of today's cancer patients while using their experiences to benefit all cancer patients tomorrow. CCI recently launched its first clinical trial in an aggressive form of breast cancer called 'triple-negative' breast cancer. CCI is a grass-roots 'coalition of the willing,' comprised of nearly 100 community and academic oncologists, scientists, computational biologists, and other specialists from six different organizations, and owes much of its success to support from the South Sound region.

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Karl Bohringer , PhD

Email: karlb@u.washington.edu

Phone: (206) 221-5177

Dr. Bohringer's current research interests include micromanipulation and microassembly, as well as biomedical implants and bioMEMS for single-cell genomics and proteomics. There are two major research themes in his work: Controlling surfaces and interfacial forces at the micro and nano scale, including systems for controlled self-assembly of microcomponents, programmable surfaces whose local properties (for example, hydrophobicity) can be changed on demand, and MEMS actuator arrays and microrobots for moving tiny objects; Joining MEMS and biology by integrating new biomaterials into MEMS processes and devices, biomedical sensor implants, and microfluidic chips for handling and analyzing biological samples. Dr. Bohringer is also interested in discussing ideas for leveraging the unique capabilities of the Washington Nanofabrication Facility for research programs in the biomedical field.

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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.

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Karol Bomsztyk , MD

Email: karolb@uw.edu

Phone: (206) 616-7949

Dr. Bomstyzk areas of research interest include pathogenesis of bacterial, fungal and parasitic diseases; epigenetics of inflammation and infection; and epigenetics of HIV infection.

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Stephen Bowen , PhD

Email: srbowen@uw.edu

Phone: (206) 598-1128

Dr. Bowen's research focuses on quantitative molecular imaging of cancer and normal tissue for personalized radiation therapy. Specifically he is interested in machine learning of respiratory patterns for personalized motion management strategies during image acquisition, radiotherapy planning, and radiotherapy delivery; dose painting based on respiratory-gated FDG PET in NSCLC; and functional avoidance planning of both MAA and DTPA SPECT-defined lung regions in NSCLC and SC SPECT-defined liver regions in HCC.

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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.

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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.

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