After earning a B.A. in Math & Anthropology from Pomona College in 1995, Katie spent a year on a Watson Fellowship in New Zealand, Indonesia, and Australia researching infant care practices as they relate to Sudden Infant Death Syndrome. Based in the UK from 1996-1998, she traveled and worked in two health-related jobs, one in a sleep lab at the University of Bristol and another writing a government report on health and housing in South London.
Katie came to the UC Berkeley Biostatistics Department in 1998, receiving her M.A. in Biostatistics in May, 2000. Having worked as a summer intern at Chiron Corporation in 1999 and 2000, Katie collaborated throughout graduate school with researchers from Chirons cancer biology microarray group.
Katie received her Ph.D. in Biostatistics from UC Berkeley in May 2003. Her dissertation is entitled Computationally intensive statistical methods for analysis of gene expression data. At the statistics department graduation, Katie was honored with the Evelyn Fix Memorial Award for her research on methods for the analysis of genomic data, which "have already been applied in cancer and biology research and are widely applicable in studies of disease at the biological level." Katie was also selected as the Chin Long Chiang Biostatistics Student of the Year for 2003.
During the summer of 2003, Katie worked as a postdoctoral fellow with Sandrine Dudoit (UC Berkeley, Biostatistics) writing statistical software for multiple testing and clustering. The software packages will be contributed to the open source R and Bioconductor projects.
From 2003-2005, Katie had an NIH postdoctoral fellowship in the labs of David Haussler and Todd Lowe in the Center for Biomolecular Science & Engineering at University of California, Santa Cruz. Katie's UCSC website is here.
Katie is currently an Assistant Professor at University of California, Davis. She is affiliated with the UC Davis Genome Center and the Department of Statistics. Her current website is docpollard.com.
Katie's research interests while at Berkeley (including publications and talks) are also available.