The last decade has seen an unprecedented explosion of data. These data are an absolute treasure trove of information if we know how to use it. In medicine, data are increasingly being generated and linked across electronic health records, administrative databases, and biobanked samples. These resources hold tremendous promise for improving human health and achieving precision medicine, which will only be realized by thoughtful study designs and innovative analyses.

Our lab uses novel computational methods grounded in genetic epidemiology and statistical genetics to capitalize on today’s big data resources. We aim to understand how genetic, epigenetic, and environmental differences between people contribute to variation in disease susceptibility, response to treatment, and recovery, and we want to translate these discoveries into patient-centered, precision care. We conduct studies in large population datasets, with a major interest in electronic health records and biobanks, and we work at the intersection of genetics, epidemiology, statistics, bioinformatics, and computer science.