Associate Member, Clinical Research Division
Associate Member, Biostatistics Program, Public Health Sciences Division
University of Oregon, PhD (Mathematics)
University of Puget Sound, BS (Mathematics)
A Ph.D. in mathematics (University of Oregon) studying functional analysis and operator theory in Banach algebras seems distant from statistical analysis of biomedical data. However, many biomedical questions — motivated by new technologies and computing power — are appropriately posed mathematically so these concepts have increasing relevance to biomedical data analysis. One example is spectral theory (the mathematics of “inverse” problems) which aims to summarize the characteristics of multivariate systems. An NIH career-transition grant (K25) brought me from my position as Associate Professor of Mathematics at the University of Missouri in Rolla, MO (now Missouri University of Science and Technology) to the University of Washington and the Fred Hutch. A variety of collaborations at the Fred Hutch and the UW have defined the focus of my current efforts on statistical and machine-learning methods for the analysis of microbiome, neuroimaging, metabolomic and genomic data.
Tim Randolph's CV