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q=Biostatistics

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Katherine Adams Guthrie , PhD

Email: kguthrie@fredhutch.org

Phone: (206) 667-5595

Dr. Adams Guthrie specializes in biostatistics with current interests in design, conduct, and analysis of clinical trials; biostatistics; and women's health.

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Garnet Anderson , PhD

Email: garnet@whi.org

Phone: (206) 667-4699

Dr. Anderson's area of expertise are to design, analyze, and conduct randomized trials and Biostatistics. Her research interest is focused on Women's health; in particular in the area of prevention of chronic disease, health effects of menopausal hormone therapy, ovarian cancer, including biomarkers, screening, and risk.

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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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William Barlow , PhD

Email: wbarlow@uw.edu

Phone: (206) 839-1761

Dr. Barlow's expertise is in the area of Biostatistics: it includes designing, conducting, and analyzing breast cancer clinical trials. His other interests include breast cancer screening, other clinical prognostic and predictive markers, trial design, and efficient sampling methods for biomarker evaluation.

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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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Cara Carty , PhD

Email: ccarty@whi.org

Phone: (206) 667-4142

Dr. Cara Carty specializes in public health; epidemiology; biostatistics; genetics; environmental health; and toxicology. Her research interests are in the Biostatistics and Biomathematics.

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Xiaoyu Chai , MS

Email: xchai@fredhutch.org

Phone: (206) 667-3004

Xiaoyu Chai's interests lie in the design of experiments such as A/B testing, factorial design, sampling, blocking, randomization, stratification, power and sample size calculation; statistical modeling such as generalized linear/non-linear/additive/penalized models, survival analysis, simulation, time series forecasting, clustering/segmentation, dimension reduction, hypothesis testing, feature selection; and machine learning such as bootstrap, cross-validation, Monte Carlo simulation, classification trees, bagging, random forests, boosting, support vector machines, neural networks, ensemble learning, parallel computing.

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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.

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Deborah Donnell , PhD

Email: deborah@scharp.org

Phone: (206) 667-5661

Dr. Donnell is a Principal Staff Scientist in the Vaccine and Infectious Disease Institute (VIDI). She is the Principal Investigator of the HIV Prevention Trials Network Statistical and Data Management Center. The scientific faculty, drawing from the University of Washington Biostatistics department and the Population Sciences Program in VIDI, are responsible for the design and analysis of Phase III clinical trials to access the efficacy of biomedical and behavioral interventions to prevent the transmission of HIV

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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.

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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.

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Ruth Etzioni , PhD

Email: retzioni@fredhutch.org

Phone: (206) 667-6561

Dr. Etzioni's group focuses on innovative statistical and computer modeling to project the comparative outcomes of cancer control interventions in an effort to develop a deeper, more mechanistic understanding of cancer progression. A few of the recent projects include, interrogation of trends in prostate cancer in the US population to quantify the roles of treatment changes; to interpret the results of the large prostate cancer screening trials; to generate unique insights about prostate cancer natural history and over-diagnosis due to PSA screening.

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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.

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Ted Gooley , PhD

Email: tgooley@fredhutch.org

Phone: (206) 667-6533

Dr. Gooley's research is focused on clinical trials and methods of data analysis in stem cell transplantation.

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Raphael Gottardo , PhD

Email: raph@rglab.org

Phone: (206) 667-4076

Dr. Gottardo is the principal investigator in the Gottardo Lab and Fred Hutch. His research focuses on developing methods and tools for high throughput, high dimensional experiments with applications in vaccine research and immunology. His team also works on flow cytometry, peptide microarrays, next generation sequencing, Bayesian inference and computation, and statistical computing.

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Chad (Qianchuan) He , PhD

Email: qhe@fredhutch.org

Phone: (206) 667-7068

Dr. He's research is focused on the development of new statistical methods to tackle the high-dimensionality of genomic data, with the aim to achieve sparse models, consistent estimators, and better prediction accuracy. His research is highly interdisciplinary in that it involves statistical theory, bioinformatics, high-performance computing and biomedical sciences

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Patrick Heagerty , PhD, MS

Email: pheagert@fredhutch.org

Phone: (206) 667-2685

Dr. Heagery's research interests are Regression techniques for dependent data including marginal models and random effects models for longitudinal data, methods for categorical time series, and hierarchical models for categorical spatial data, statistical computing, and applications in epidemiology and ecology.

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Sarah Holte , PhD

Email: sholte@fredhutch.org

Phone: (206) 667-6975

Dr. Holte's general work is focused in mathematical and statistical modeling of time-varying biological processes. Her current interests lie in differential and difference equations to model the biology of HIV and the immune system.

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Li Hsu , PhD

Email: lih@fredhutch.org

Phone: (206) 667-2854

Dr. Hsu's principal research area is statistical genomics. These include assessing familial aggregation using variable age at onset as disease outcomes, discovering latent genes via linkage and association, and characterizing the effect of the genes and their interaction with environmental risk factors on the time course of the disease. She has been involved in various studies, such as case-control population based family studies of early onset breast cancer and prostate cancer . She is also interested on performing high-dimensional data analysis on gene-set association analysis and network construction. Understanding the gene expression changes between tumor and normal tissues may help in clinical diagnosis and yielding useful biomarkers for early diagnosis.

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Gisele Ishak , MD

Email: ishakg@u.washington.edu

Phone: (206) 221-7872

Dr. Ishak is a pediatric radiologist with expertise in diagnostic radiology and neuroradiology.

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