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Chaitra Ujjani , MD

Email: ujjani@uw.edu

Phone: (206) 606-1955

Dr. Ujjani has designed and led multi-center clinical trials that test new drug combinations for treating lymphomas and chronic lymphocytic leukemia (CLL), with the goals of more precisely targeting cancer while decreasing the intensity of side effects. She is also interested in immunotherapy and novel therapeutics for B-cell lymphoma and CLL.

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Takuma Uo , Ph.D.

Email: tuo@uw.edu

Phone: 206-897-5463

Age is the most common risk factor for prostate cancer, with the rapid rise in its incidence after age 50. As a member of the prostate cancer research group in Division of Gerontology and Geriatric Medicine, Dr. Uo is focused on understanding molecular logics behind adaptive resistance of prostate cancer cells to the most forefront androgen-targeted therapies. Specifically, his research program examines the cell autonomous and nonautonomous mechanisms that enable prostate cancer progression, including the constitutively-active isoforms of androgen receptor, the metabolic rewiring, and the extracellular fuel supply from tumor microenvironment and adipose tissues. He harnesses in-depth knowledge and advanced technologies of molecular, cellular, chemical, synthetic, and computational biology to help develop next-generation of therapeutics to improve patient survival.

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Trang VoPham , PhD, MPH, MS

Email: tvopham@fredhutch.org

Phone: (206) 667-2642

Dr. VoPham is an epidemiologist and geospatial scientist whose research focuses on understanding the role of place or location — particularly environmental exposures — in cancer. She integrates methods in cancer epidemiology, environmental epidemiology and geospatial science, including geographic information systems, or GIS, and remote sensing technologies, to study how environmental exposures might impact the risk of developing cancer. Her research includes epidemiologic studies examining the associations between particulate matter air pollution, dioxin, pesticides, radon, ultraviolet radiation, and circadian misalignment and the risk of liver, breast and lung cancer using data from the Nurses’ Health Studies; SEER; and SEER-Medicare. Dr. VoPham is also an expert in developing environmental exposure models using geospatial methods for exposure assessment in epidemiologic studies.

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Michael Wagner , MD

Email: wagnermj@uw.edu

The focus of Dr. Wagner's work is to understand the molecular drivers of sarcomas and to translate this knowledge to develop clinical trials, ultimately leading to new treatments for sarcoma.

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Roland B. Walter , MD, PhD

Email: rwalter@fredhutch.org

Phone: (206) 667-3599

Dr. Walter's research is focused on human acute myeloid leukemia (AML). He is particularly interested in the delineation of the clonal origin of AML, the molecular and phenotypic characterization of AML stem and progenitor cells, and the interaction between AML cells and their environment. An overarching goal of these studies is the development of targeted treatments aimed to eradicate disease-relevant AML cells, with CD33-directed therapies being one important specific example. He is also involved in the early testing of novel drugs and innovative care approaches in patients with AML. And he participates in collaborative projects utilizing large datasets that aim to improve diagnostic and prognostic tools in AML or, together with epidemiologists, study risk factors for the development of this hematological malignancy.

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Ching-Yun Wang , PhD

Email: cywang@fredhutch.org

Phone: (206) 667-6949

Dr. Ching-Yun Wang's research interests are in statistical methods for measuring error models, missing data regression, nutritional epidemiology, semiparametric regression models, joint modeling of longitudinal and failure time data, and high-dimensional biomarker data and classification.

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Edus (Hootie) Warren , MD, PhD

Email: ehwarren@fredhutch.org

Phone: (206) 667-6441

Dr. Warren's research focuses on the dissection of human antitumor immune responses at the cellular and molecular level. Dr. Warren is also medical oncologist specializing in leukemia and bone marrow transplant.

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Bruce Weir , PhD

Email: bsweir@u.washington.edu

Phone: (206) 221-7947

Dr. Weir is chair and professor of the University of Washington department of biostatistics. He develops and applies statistical methods to genetic data. He also directs an NIGMS training grant in statistical genetics and he is very interested in the training of graduate students.

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Paul Wiggins , PhD

Email: pwiggins@uw.edu

Phone: (626) 437-3761

Dr. Wiggins's research group focuses on achieving a greater understanding of how biological systems function and are structured at the microscopic scale. In particular, he is focused on Bacterial cell biology, chromosome structure and bacterial ultra-structure; quantitative Imaging; and DNA/membrane statistical mechanics.

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Fei Xia , PhD, MS

Email: fxia@u.washington.edu

Phone: (206) 543-9764

Dr. Xia's research area is computational linguistics. Her research covers a wide range of NLP tasks including morphological analysis, part-of-speech tagging, grammar extraction and grammar generation, treebank development, machine translation, named-entity recognition, and information extraction.

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Li Xin , PhD

Email: xin18@uw.edu

Phone: (206) 543-6551

Dr. Xin's lab is interested in using the prostate as a tissue model to study the molecular and cellular mechanisms that regulate development, tissue homeostasis and carcinogenesis. Currently, there are two major research focuses in the lab. The first is to characterize the prostate epithelial lineage hierarchy and investigate how individual prostate epithelial lineages are maintained in adults by prostate stem cells and to identify master regulators that control adult prostate homeostasis. The is to investigate the molecular and cellular basis of aggressive prostate cancer. The lab is interested in determining the function of disease-associated genes in prostate cancer initiation and progression, and characterizing the identity of the cells of origin for prostate cancer. The major approaches utilized are cell culture-based prostate stem cell assays, genetically engineered mouse models, and a prostate regeneration method.

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Ka Yee Yeung , PhD

Email: kayee@uw.edu

Phone: (253) 692-4924

Dr. Yeung has extensive experience in the design of algorithms for the mining and integration of big data. She also has research expertise/interest spanning multiple disciplines, including computer science, statistics, computational biology, cancer biology and systems biology.

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Cathy Yeung , PhD, PharmD

Email: cathyy@u.washington.edu

Phone: (206) 897-4709

Dr. Yeung's research includes both basic science and translational studies, and spans from the determination of molecular mechanisms of altered drug metabolism using 3-dimensional cell culture techniques to the evaluation of the effect of drugs and nutritional supplements on health outcomes in patients receiving hemodialysis. She is also involved in the development of a kidney on a chip microphysiological system that can be used in preclinical drug toxicity screening.

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Lue-Ping Zhao , PhD

Email: lzhao@fredhutch.org

Phone: (206) 667-6927

Being trained in biostatistics/bioinformatics, epidemiology and genetics, Dr. Zhao's current interest in STTR includes how to use omics methodology to dissect solid tumor etiology and mechanism with either expression arrays, SNP arrays, or short-read sequencing methods. Further, he is interested in utilizing large and complex electronic medical records with modern genomic technologies for translational bioinformatics studies.

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Yingye Zheng , PhD

Email: yzheng@fredhutch.org

Phone: (206) 667-7580

Dr. Zheng's research interests have been in the statistical methods for longitudinal data with time-to-event outcome, with a focus on using semi-parametric methods for estimating time-dependent ROC curves which are useful for evaluating the ability of longitudinal biomarkers or algorithms to identify cancer early, or signal disease prognosis. Her work is also focused on statistical methods for family-based genetic association studies. She is presently providing support to a number of research proposals and applications in the cancer prevention research program, including serving as an investigator in the DMCC of the Early Detection Research Network.

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