Big Data

Got big and complex data? We get the picture! Here we used our big data visual analytical methods to transform a large incomprehensible data set of readmitted hip fracture patients (left), into statistically and clinically significant patient subgroups based on their comorbidities (right).

Suresh K. Bhavnani

Dr. Bhavnani is associate professor of biomedical informatics in the Institute for Translational Sciences (ITS) at the University of Texas Medical Branch, holds a secondary appointment in the Department of Preventive Medicine and Community Health, and is an adjunct associate professor at the School of Biomedical Informatics in UT Houston.

Dr. Bhavnani obtained a PhD in Computational Design and Human-Computer Interaction from Carnegie Mellon University, and specializes in network visualization and analysis of biomedical data, with translation to the design of decision-support systems. He has received four distinguished paper awards in translational bioinformatics, and a distinguished paper and a distinguished poster award in medical informatics from the American Medical Informatics Association. In addition, he has received an outstanding research mentorship award from the University of Michigan, and the Rising STARs award from the University of Texas System. Bhavnani is PI of the Discovery and Innovation through Visual Analytics (DIVA) lab at UTMB, and PI of grants from PCORI, CDC, and from the Institute for Human Infections and Immunity.

Institute for Translational Sciences
University of Texas Medical Branch
301 University Blvd. Galveston, TX 77555-0129

skbhavnani "at" gmail "dot" com




This site maintained by the Institute for Translational Sciences
Copyright © The University of Texas Medical Branch. Please review our site policies and required links