Post-Docs
Lauren J Beesley
lbeesley@umich.edu
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.
Current Position:
Feynman Distinguished Postdoctoral Fellow
Analytics, Intelligence and Technology Division: Information Systems and Modeling,
Los Almos National Laboratory
Max Aung
maxaung@umich.edu
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.
Current Position:
Associate Research Scientist at UCSF Program on Reproductive Health and the Environment,
UCSF
