Dr. Mazumder's research centers on predicting outcome for patients with liver disease. Specifically, his interest is in the interplay between the pathophysiology of portal hypertension and the cardio-renal axis as it applies to personalizing care for patients. He is interested in mathematical modeling, biosignals, markers of volume status, and machine learning.