
Robert Stewart , PhD
Email: trawets@uw.edu
Phone: (206) 598-7951
Dr. Stewart's research is focused on biologically guided radiation therapy (BGRT), outcome assessment, and treatment individualization using biological metrics, such as the equivalent uniform dose (EUD) and biologically equivalent dose (BED) concepts.

Roland Strong , PhD
Email: rstrong@fredhutch.org
Phone: (206) 667-5587
Dr. Strong's lab research focuses on structural molecular immunology and vaccinology by using biophysical approaches to study proteins and interactions mediating or modulating adaptive and innate immune responses.

Dan Suciu , PhD
Email: suciu@cs.washington.edu
Phone: (206) 685-1934
Dr. Suciu is a full professor in Computer Science and Engineering at the University of Washington. He applies formal theory to novel and difficult data management tasks. Suciu's past work has addressed various aspects of managing semi-structured data, including query languages, compression, query processing and type inference. His more recent work includes data security and querying unreliable and inconsistent data sources.

Lucas Sullivan , PhD
Email: lucas@fredhutch.org
Phone: (206) 667-7826
Dr. Lucas Sullivan studies cell metabolism under normal and cancerous conditions. He also aims to deepen the understanding of metabolism in general, working to discover new molecular products of metabolism and their roles in sustaining cell survival and growth. The current goals of the lab seek to span from translationally relevant projects, testing metabolism modifying therapies in preclinical cancer models, to basic science discovery, investigating new roles for coenzyme networks and identifying new metabolites, to better understand cell metabolism in cancer and beyond.

Billie Swalla , PhD
Email: bjswalla@u.washington.edu
Phone: (206) 616-9367
Dr. Swalla's goal is to understand the evolution of the chordate body plan, a complex problem that requires interdisciplinary research. As vertebrates, humans are chordates, but there are also several groups of invertebrate chordates that her team study for clues to our evolution. The lab combine methods and approaches in phylogenetics, development, ecology and evolution to study the evolution of the chordate body plan from a deuterostome ancestor.

Stephen Tapscott , MD, PhD
Email: stapscot@fredhutch.org
Phone: (206) 667-4499
Dr. Tapscott's research focuses on the regulation of gene expression during the development of muscle and the nervous system and how this relates to cancers and degenerative diseases of brain and muscle. He has translational research programs in cell and gene therapy for muscular dystrophies and clinical studies to identify the mechanisms of facioscapulohumeral muscular dystrophy.

Timothy Thornton , PhD
Email: tathornt@u.washington.edu
Phone: (206) 543-8004
Dr. Thornton's research interest is in the area of statistical genetics, with an emphasis on statistical methodology for case-control genome-wide association studies (GWAS) in samples with related individuals and/or hidden population structure.

Toshio Tsukiyama , PhD, DVM
Email: ttsukiya@fredhutch.org
Phone: (206) 667-4996
Dr. Tsukiyama is interested in understanding how chromatin structure is regulated in vivo.

Sherilyn Tuazon , MD, MS
Email: stuazon@fredhutch.org
Phone: (206) 667-5479
Dr. Sherilyn Tuazon is developing better treatments for people with multiple myeloma. Her primary research goal is to create novel cellular therapies that provide lasting remissions and cures for multiple myeloma patients, with a focus on blood stem cell transplantation and immunotherapies, such as genetically modified T-cell therapies and radioimmunotherapy.

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.

Joseph Unger , PhD, MS
Email: junger@fredhutch.org
Phone: (206) 667-2860
Dr. Unger specializes and is interested in the design and analysis for quality of life; cancer prevention; symptom control; and comparative effectiveness studies.

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.

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.

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.

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.

Ellen Wijsman , PhD
Email: wijsman@u.washington.edu
Phone: (206) 543-8987
Dr. Wijsman's research is directed towards the development and application of quantitative methods for analysis of human genetic data, including statistical techniques of gene mapping, modeling modes of inheritance, and identifying regions of identify-by-descent through linkage disequilibrium analysis.

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.

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.

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.

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.