We are a computational medicine laboratory that focuses on developing and applying methods to improve clinical care, focusing on screening for under-diagnosed diseases and cardiovascular disease diagnosis and prediction. To these ends, we developing robust, integrative analyses of clinical and other biomedical data. We are interested in both approaches that can be rapidly implemented in clinical practice and more sophisticated modeling that optimally leverages longitudinal, multi-dimensional patient data. We work with both existing clinical data and potential new biomarker data collected from electronic health records and epidemiologic studies. In addition, we are also developing small clinical cohorts for the evaluation of focused questions.
We are always looking for motivated individuals who are interested in using computational approaches to improve the practice of medicine. See our Opportunities page or email for more information.
We are currently recruiting for a computational postdoctoral fellow. Click here to find out more.
Doris Duke Charitable Foundation Clinical Scientist Development Award
We received a Doris Duke Charitable Foundation Clinical Scientist Development Award to develop computational strategies to improve screening for primary aldosteronism