Research Interests
Statistical methods for genetic epidemiology and other high-throughput settings; cardiovascular epidemiology; Bayesian methods, particularly connections between Bayesian and classical techniques; meta-analysis; measurement error adjustment
Education
PhD Biostatistics, Cambridge University (UK), 2001
BA Mathematics, Cambridge University (UK), 1995
In the News
Breakthrough study identifies 535 genes that influence blood pressure
SPH News, 09/28/2018
SPH biostatistician named a Fellow of the American Statistical Association
SPH News, 06/12/2018
SPH researchers take part in largest-ever genetic study of stroke
SPH News, 04/02/2018
Global Study Reveals New Hypertension and Blood Pressure Genes
SPH News, 10/28/2016
UW Biostatistics Students Recognized at Regional Competition
SPH News, 07/26/2016
Whole Genome Sequence and Human Traits
Nature Genetics, 06/16/2013