Over the last decade, I have used large-scale data to solve problems in health policy, genetics, and transcriptomics. During my graduate and postdoctoral training, I have implemented the latest bioinformatics methods to discover gene associations and transcriptional networks in common autoimmune diseases.
In the next phase of my career, I will use the latest statistical learning methods combined with population-scale multi-omics data to develop highly accurate, clinically useful predictive models of human diseases, with the goal of providing targeted interventions before the onset of debilitating symptoms.
PhD in Epidemiology, 2014
University of California, Irvine
MA in Economics, 2006
San Diego State University
BA in History, 2005
University of California, San Diego