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), using a team-centered informatics approach.

Suresh K. Bhavnani

Dr. Bhavnani is tenured 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 faculty member 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, the Rising STARs award from the University of Texas Systems, the Outstanding Paper Award at the Science of Team Science conference, and the Educator of the Month award from the Academy of Master Teachers at UTMB. Bhavnani is PI of the Discovery and Innovation through Visual Analytics (DIVA) lab at UTMB, and PI of grants from PCORI, CDC, the AGING Initiative and the Institute for Human Infections and Immunity, and Co-PI/Co-I of grants from NSF and NIH.

Institute for Translational Sciences
University of Texas Medical Branch
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skbhavnani "at" gmail "dot" com




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