Lauren J Beesley
I am interested in survival analysis, missing data issues, and modeling with latent variables. I am currently working on issues of missing or misclassified phenotype data in electronic health records research.
Feynman Distinguished Postdoctoral Fellow
Analytics, Intelligence and Technology Division: Information Systems and Modeling, Los Almos National Laboratory
I am interested in leveraging high-dimentional environmental and biological data to characterize risk factors for maternal and child health outcomes. Specifically, I focus on analyzing complex mixtures of environmental toxicants in association with endogenous biomarkers in order to predict adverse birth outcomes and estimate risk profiles.
Associate Research Scientist at UCSF Program on Reproductive Health and the Environment, UCSF