Suresh K. Bhavnani, PhD

Suresh K. Bhavnani, PhD
Professor, Biomedical Informatics
Department of Biostatics & Data Science

Physical address:
UHC, Suite 4.208
1005 Harborside Drive
Galveston, TX

Mailing address:
301 University Boulevard
Galveston, TX 77555-1150

Phone Number: 409-772-1928
Email: Subhavna@utmb.edu

Dr. Bhavnani is professor of biomedical informatics in the department of biostatistics and data science, director of the Discovery and Innovations through Visual Analytics (DIVA) Laboratory, senior fellow at the Sealy Center on Aging, member of the Institute for Translational Sciences, and adjunct faculty 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 healthcare policies and clinical decision-support systems. His research has received five distinguished paper awards in biomedical 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 twice received the Educator of the Month award from the Academy of Master Teachers at UTMB. Bhavnani is PI/MPI/Co-PI of grants from NIH, PCORI, CDC, NSF, and the AGING Initiative.
This video provides examples of Dr. Bhavnani’s research and applications.
Curriculum Vitae - CV
- PhD, Carnegie Mellon University
- Biomedical Informatics
- UT Health Science Center in Houston
- Discovery and Innovation through Visual Analytics (DIVA Lab)
1. Bhavnani, S.K.*, Zhang, Visweswaran, S., W., Raji, M., Kuo, Y-F. Modeling and Interpreting Patient Subgroups in Hospital Readmission: Visual Analytical Approach (in review), medRxiv 22271534 [Preprint] 03/01/22. Available from https://www.medrxiv.org/content/10.1101/2022.02.27.22271534v1
2. Li, X., Beeghly-Fadiel, A., Bhavnani, S.K., Tavana, H., Rubinstein, S.M., Gyawali, B., Riaz, I.B., Fernandes, D., Warner, J.L. Information theoretic network meta-analysis to rank first-line anticancer regimens for hormone receptor-positive HER2-negative metastatic breast cancer. JAMA Network Open (in press).
3. Suraj, V., Fitz, C.D., Kleiman, L.B., Bhavnani, S.K., Warner, J., Alterovitz, G. SMART COVID Navigator: A Clinical Decision Support for COVID-19. JMIR (in press).
4. Choudhuri, S.*, Bhavnani, S.K., Zhang, W., Botelli, V., Barrientos, N., Lniguez, F., Zago, M.P., Garg, N.J. Prognostic Performance of Peripheral Blood Biomarkers in Identifying Seropositive Individuals at Risk of Developing Clinically Symptomatic Chagas Cardiomyopathy. Microbiology Spectrum, 2021;9(1):e00364-21.
5. Bhavnani, S.K.*, Dang, B., Penton, R., Zuhour, R., Visweswaran, S., Divekar, Bassler, K.E., Chen, T., Raji, M., Karmarkar, A., Kuo, Y-F., Ottenbacher, K. How High-Risk Comorbidities Co-occur in Readmitted Hip Fracture Patients: Implications for Precision Medicine and Predictive Modeling. JMIR Medical Informatics 2020;8(10):e13567.
6. Wu, J.*, Bryan, J., Rubinstein, S.M., Wang, L., Lenoue-Newton, M., Zuhour, R., Levy, M., Micheel, C., Xu, Y., Bhavnani, S.K., Lest, M., Warner, J.L. Opportunities and Challenges for Analyzing Cancer Data at the Inter- and Intra-institutional Levels. JCO Precision Oncology 2020(4):743-756.
7. Nia A.M.*, Chen T., Barnette B.L., Khanipov K., Ullrich R.L., Bhavnani S.K., Emmett M.R. Efficient identification of multiple pathways: RNA-Seq analysis of livers from 56Fe ion irradiated mice. BMC Bioinformatics. 2020 Mar 20;21(1):118. doi: 10.1186/s12859-020-3446-5. PubMed PMID: 32192433; PubMed Central PMCID: PMC7082965.
8. Bhavnani, S.K.*, Visweswaran, S., Divekar, R., Brasier, A. Towards Team-Centered Informatics: Accelerating Innovation in Multidisciplinary Scientific Teams through Visual Analytics. Journal of Applied Behavioral Science (2019) 55(1), 50-72.
9. Bhavnani, S.K.*, Dang, B., Kilaru, V., Caro, M., Visweswaran, S., Saade, G., Parets, S.E., Smith, A.K., Menon, R. Methylation Differences Reveal Heterogeneity in Preterm Pathophysiology: Results from Bipartite Network Analyses. Journal of Perinatal Medicine (2017) PMID: 28665803.
10. Bhavnani, S.K.*, Dang, B., Bellala, G., Divekar, R., Visweswaran, S., Brasier, A., Kurosky, A. Unlocking Proteomic Heterogeneity in Complex Diseases through Visual Analytics. Proteomics (2015) 15(8), 1405–1418. (IF: 4.079).
11. Wooten, K., Calhoun, W., Bhavnani, S.K., Rose, R.M., Ameredes, B., Brasier, A.R. Evolution of Multidisciplinary Translational Teams (MTTs): Insights for Accelerating Translational Innovations. Clinical and Translational Science (2015) 8(5), 542-552.
12. Tian, B., Xueling, L. Kalita, M., Widen, S.G., Yang, J., Bhavnani, S.K., Dang, B, Kudlicki, A, Sinha, M., Kong, Fanping, K., Wood, T., Luxon, B., Brasier, A.R. Analysis of the TGFβ-induced program in primary airway epithelial cells shows essential role of NF-κB/RelA signaling network in type II epithelial mesenchymal transition. BMC Genomics (2015) 16:529, 1-23.
13. Bellala, G.*, Stanley, J., Bhavnani, S.K., and Scott, C. A Rank-based Approach to Active Diagnosis. IEEE Transactions on Pattern Analysis and Machine Intelligence (2013) 35(9):2078-90.
14. Bhavnani, S.K.*, Bellala, G., Victor, S., Bassler, K., Visweswaran, S. The Role of Complementary Bipartite Visual Analytical Representations in the Analysis of SNPs: A Case Study in Ancestral Informative Markers. Journal of the American Medical Informatics Association (2012) 19:e5-e12.
15. Bhavnani, S.K.*, Warden, M., Zheng, K., Hill, M., Athey, B.D. Researchers' Needs for Resource Discovery and Collaboration Tools: A Qualitative Investigation of Translational Scientists. Journal of Medical Internet Research (2012) 14(3):e75.
16. Finnerty, C.*, Ju, H., Spratt, H., Victor, S., Jeschke, M., Hegde, S., Bhavnani, S.K., Luxon, B. A., Brasier, A., Herndon, D. Proteomics Improves the Prediction of Burns Mortality: Results from Regression Spline Modeling. Clinical and Translational Science (2012) 5(3), 243-249.
17. Calhoun, W.J., Wooten, K., Bhavnani, S.K., Anderson, K.E., Freeman, J., Brasier, A.R.* The CTSA as a Framework for Developing Multidisciplinary Translational Teams. Clinical and Translational Science (2013) 6(1):60-71. (IF: 2.3)
18. Pillai, R. R., Divekar, R., Brasier A.R., Bhavnani, S.K., Calhoun, W.J.* Strategies for molecular classification of asthma using bipartite network analysis of cytokine expression. Current Allergy and Asthma Reports (2012) 12(5):388-395. (IF: 2.8)
19. Bellala, G., Bhavnani, S.K., and Scott, C*. Group-Based Query Learning for Rapid Diagnosis in Time-Critical Situations. IEEE Transactions on Information Theory (2012) 58(3):1, 459 - 478. (IF: 2.6)
20. Bhavnani, S.K.*, Victor, S., Calhoun W. J., Busse, W. W., Bleecker, E., Castro, M., Ju, H., Brasier, A. R. How Cytokines Co-occur across Asthma Patients: From Bipartite Network Analysis to a Molecular-Based Classification. Journal of Biomedical Informatics (2011) 44, S24–S30. (IF: 2.131).
PubMed

Suresh K. Bhavnani, PhDProfessor, Biomedical InformaticsDepartment of Biostatics & Data Science

Suresh K. Bhavnani, PhD
Professor, Biomedical Informatics
Department of Biostatics & Data Science