Post-Doctoral Fellows

Name Email Research Interests
Tushar Bhangale tushar@u.washington.edu Methods in identifying genetic factors involved in common complex human diseases, particularly finding gene-gene interactions. Analysis of human variation data to determine signatures of natural selection and population demographic history.
Fred Boehm fjboehm@u.washington.edu My research interests are within the realm of statistical genetics. Specifically, I am interested in identifying genotypes that are associated with complex disease phenotypes, such as heart disease, diabetes, and hypertension. Additionally, I am interested in developing new statistical techniques to aid in the correlation of these genotypes and phenotypes.
Hua Chen huachen@u.washington.edu Causal inference, analysis of incomplete missing data, and graphical models.
Joseph Delaney jacd@u.washington.edu  
Rebecca Hubbard rhubb@u.washington.edu Statistical methods for longitudinal studies, statistical modeling in biostatistics progression, quality of life, stochastic processes, and Bayesian methods in biostatistics.
Kyle Rudser rudserk@u.washington.edu My statistical research interests include the design and monitoring of clinical trials, survival analysis, longitudinal analysis, and nonparametric approaches.
Adam Szpiro aszpiro@u.washington.edu Hierarchical Bayesian spatio-temporal modeling and biostatistics applied to air pollution and cardiovascular health epidemiology.