People
John Clemmer, PhD
 | Assistant Professor Office/Lab: G152; (601) 984-1802 |
Areas of expertise
- General: Cardiovascular and renal physiology
- Specific: Physiological modeling of hypertension, kidney disease, and heart failure
Research methods
- Mathematical models of hypertension and cardiovascular renal diseases
- Validating virtual populations to replicate clinical trials
- Advanced data analytics and machine learning on clinical datasets
- Developing algorithms to clean and organize Research Data Warehouse outputs
Current Projects
- Impact of renal dysfunction in Black Americans with heart failure with preserved ejection fraction
- Modeling the renoprotective mechanisms of SGLT2 inhibition in hypertensive chronic kidney disease
- Role of the heart and kidney in heart failure with preserved ejection fraction during baroreflex activation therapy
- Modeling mechanisms of salt-sensitivity
Dr. Clemmer's research uses mathematical modeling to understand integrative physiology and and the mechanisms and treatment of chronic kidney disease and heart failure, with particular attention to the influence of race/ethnicity and renal function on cardiovascular outcomes. Trained as a biological engineer, Dr. Clemmer brings a unique interdisciplinary background in biology, physics, and mathematics that enables him to bridge physiology with advanced statistical and computational approaches. He currently develops large model, HumMod, to model and validate pharmacological and device-based therapy for the treatment of hypertension, chronic kidney disease, and heart failure with preserved ejection fraction. Dr. Clemmer also addresses racial disparities and socioeconomic determinants of health using large-scale patient datasets, including the Jackson Heart Study, the University of Mississippi Medical Center's Research Data Warehouse, and controlled clinical trial data.
Postdoctoral Positions
Dr. Clemmer's laboratory is interested in attracting candidates with a strong background in integrative physiology. Experience in computational modeling or predictive analytics is a plus. To apply, email a cover letter, CV and a list of two references to Dr. Clemmer.
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