Leadership and Staff

Mike Wu serves as Director of the Biostatistics Consulting and Collaboration Center (BC3) at Fred Hutch and is a Professor in the Public Health Sciences Division. With a strong foundation in methodological innovation and translational science, he leads BC3’s mission to provide rigorous, impactful statistical collaboration to researchers across the Fred Hutch / UW / Seattle Children’s Cancer Consortium environments.

Dr. Wu’s research focuses on developing and applying advanced statistical methods for translational and population-based studies. He brings deep experience in clinical trials, “omics” sciences (genomics, epigenomics, proteomics, metabolomics, metagenomics), and integrative analyses that span molecular and environmental data streams. As a member of the SWOG Statistical Center, he contributes to the design and analysis of multi-center cancer clinical trials — ensuring methodological soundness and statistical rigor.

Under his leadership, BC3 is uniquely positioned to support investigators at all stages, from hypothesis formulation through complex grant-driven collaborations. Dr. Wu’s expertise helps shape BC3’s ability to assist in power/sample-size planning, design of clinical protocols, statistical modeling across multiple data types, code-level troubleshooting (R, SAS, etc.), and the development of statistical sections for NIH and foundation proposals. His broad methodological grounding and translational focus make him a strong bridge between statistical innovation and real-world cancer research.

Jing Ma is Co-Director of the Biostatistics Consulting and Collaboration Center (BC3) and an Associate Professor in the Public Health Sciences Division at Fred Hutch. Her work bridges advanced statistical methodology and translational collaboration, helping investigators address the challenges of modern high-dimensional biological data.

Dr. Ma’s research focuses on statistical machine learning, network analysis, and multi-omics data integration, with applications in genomics, metabolomics, and microbiome research. She develops innovative network-based methods to reveal meaningful biological pathways and interactions underlying disease processes.

Within BC3, Dr. Ma strengthens the center’s capacity to support complex, data-intensive projects—providing expertise in model development, R-based analysis, and interpretation of multidimensional datasets. Her contributions help ensure that BC3 clients receive statistically rigorous, biologically insightful results that drive discovery across the Cancer Consortium.

Tim Randolph earned his Ph.D. in Mathematics at the University of Oregon in 1990 studying functional analysis and operator theory. He worked as an Associate Professor of Mathematics at the University of Missouri-Rolla (now Missouri University of Science and Technology) until 2002 when he came to the University of Washington as PI on an NIH-funded (K25) career transition into biomedical data analysis.  In 2006 he joined the Public Health Sciences Division at the Fred Hutch as a Senior Staff Scientist, then Principal Staff Scientist (2013), before joining the Clinical Research Division as an Associate Member in 2016. His current research has grown out of a variety of collaborations at the Fred Hutch and UW focusing on statistical methods and machine learning for analysis of high-dimensional and structured data such as microbiome, metabolomics, genomics, proteomics, and neuroimaging.