As a statistician, my research is motivated by concrete applications for "big data." Although most of my work has been in machine learning, I am a recent Bayesian convert, finding those models to be more elegant than the black boxes which typically conceal why and how they operate. Some of my published work includes machine-learning algorithms for classification and diagnosis of Alzheimer’s disease, Schizophrenia, and IBS using fMRI scans, as well as (arguably creepy) mind-reading algorithms to predict a person’s cognitive state based upon their fMRI scan. Now, I am most interested in translational science, and harnessing data and statistics for biomedical applications.