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Ivana Bozic , PhD

Email: ibozic@uw.edu

Phone: (206) 543-5077

Dr. Bozic studies the evolution of cancer and its resistance to treatment through mathematical and computational modeling. Her interests lie in both theoretical aspects of these models and their application. On the theoretical side, Bozic studies stochastic processes, especially multi-type branching processes, and their finite time characteristics. Dr. Bozic collaborates extensively with experimental and clinical researchers to integrate modeling with clinical data, providing insight into the natural history of cancer in vivo.

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Dennis Chao , PhD

Email: dchao@fredhutch.org

Phone: (206) 667-1186

Dr. Chao's research interests are in computer and mathematical modeling of infectious diseases, including influenza, cholera, and dengue. His current projects include: containment of bioterrorism and emerging infectious diseases threats; computer simulation of dengue epidemics; and in modeling the effects of mass cholera vaccination in Haiti and Africa.

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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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J. Nathan Kutz , PhD

Email: kutz@amath.washington.edu

Phone: (206) 685-3029

Professor Kutz is especially interested in a unified approach to applied mathematics which includes modeling, computation, and analysis. His primary interest is in connecting state-of-the-art data methods with complex systems. Such integration is particular important across the physical, engineering and biological sciences. In context of biological applications, Kutz has developed such methods for the characterization and control of neuro-sensory systems (insect olfaction and the dynamics of the nematode c. elegans) and traumatic brain injury (networks of neurons).

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Georg Luebeck , PhD

Email: gluebeck@fredhutch.org

Phone: (206) 667-4282

Dr. Luebeck focuses primarily on the development of biomathematical descriptions of carcinogenesis, the identification and characterization of relevant spatio-temporal scales, and their impact on cancer incidence. The ultimate goal of his research is to being able to model/optimize the benefits of cancer screening, prevention, and intervention - based on a biological description of the natural history of cancer.

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Hong Qian , PhD

Email: qian@amath.washington.edu

Phone: (206) 543-2584

Dr. Qian's main research interest is the mathematical approach to and physical understanding of biological systems, especially in terms of stochastic mathematics and nonequilibrium statistical physics. In recent years, he has been particularly interested in a nonlinear, stochastic, open system approach to cellular dynamics. Similar population dynamic approach can be applied to other complex systems and processes, such as those in ecology, infection epidemics, and economics. He believes his recent work on the statistical thermodynamic laws of general Markov processes can have applications in economic dynamics and theory of values.

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Timothy Randolph , PhD

Email: trandolp@fredhutch.org

Phone: (206) 667-1079

Dr. Randolph's current research focuses on processing, classification and analysis of high-dimensional and/or functional data output from protein mass spectrometry, genetic assays and a variety of spectroscopies and imaging modalities. His other interests include methods for the analysis of networks used to describe gene and/or protein interactions.

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Harlan Robins , PhD

Email: hrobins@fredhutch.org

Phone: (206) 667-2571

Dr. Robins's research is computationally based and focuses on the adaptive immune system and its response to viral infection, with HIV a particular area of interest. Taking advantage of new high-throughput sequencing technology, in collaboration with experimental groups, we are isolating and sequencing millions of t-cell receptor VDJ rearrangements from different clonotypes.

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Joshua Schiffer , MD, MS

Email: jschiffe@fredhutch.org

Phone: (206) 667-7359

Dr. Schiffer specializes in infectious diseases with particular interests in the management of HIV infected patients and other immunocompromised hosts. His current interests are in describing the quantitative and dynamical features of human pathogens and immune responses. Most of his work to-date is on the pathogenesis of HSV-2 infection but he also is interested in applying models to optimize viral eradication strategies, and in using models to capture kinetic features of the human microbiome.

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Eric Shea-Brown , PhD

Email: etsb@uw.edu

Phone: (206) 685-6635

Dr. Shea-Brown's interests span a wide set of topics in mathematical neuroscience and biological dynamics. Recent work focuses on optimal signal processing and decision making in simple neural networks, dynamics of neural populations in interval timing tasks, correlations and reliability in simple neural circuits, and properties of oscillator networks with generalized symmetries.

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Wenying Shou , PhD

Email: wenying.shou@gmail.com

Phone: (206) 667-6505

Dr. Shou's research is particularly interested in cooperative systems. Cooperation can be found virtually everywhere: between different cell types in our body, different individuals in an ant colony, and different species in a mutualistic interaction. Her lab plans to quantitatively study evolving biological systems using a combination of experimental biology and mathematical analysis.

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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.

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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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