Neurologist, data scientist join UMMC faculty

The Medical Center is proud to announce the following additions to its faculty and leadership staff.

Shreyes Gangadhara, M.D.

Gangadhara

Dr. Shreyes Gangadhara, recently chief resident in the Department of Neurology at the University of South Florida, Tampa, has joined the Medical Center faculty as an assistant professor of neurology.

After receiving his M.B.B.S. from Mysore Medical College and Research Institute, India, in 2008, Gangadhara had a medical internship there from 2008-09 before coming to the U.S. He had an internship from 2011-12, a neurology residency from 2012-15 and a fellowship in vascular neurology from 2015-16 at USF.

An active member of the American Academy of Neurology and the American Medical Association, Gangadhara is a recipient of the Gold Humanism Award from the Arnold O. Gold Foundation. The coauthor of an article in the Asian Medical Students Journal, “Determinants Affecting the Psychological Well-Being of Adolescents - A Comparative Study,” he is also the author or coauthor of nine abstracts and formal presentations.

Gangadhara's research interests include antihypertensive treatment of acute cerebral hemorrhage and treatment of acute ischemic stroke.

Rajesh Talluri, M.D.

Talluri

Dr. Rajesh Talluri, a recent postdoctoral fellow at the University of Texas MD Anderson Cancer Center, has joined the Medical Center faculty as an assistant professor of data science.

After receiving his Bachelor of Technology in Electronics and Communication Engineering from the Indian Institute of Technology, Guwahati, in 2005, Talluri earned his Ph.D. in statistics at Texas A&M University, College Station, in 2011. While obtaining his Ph.D., Talluri served as a statistics consultant and had an internship in 2008 at UT-MD Anderson, where he was a postdoctoral fellow from 2011-16.

The author or coauthor of 10 articles in peer-reviewed scientific publications, Talluri is responsible for 15 conference and seminar presentations. An active member of the American Statistical Association and the International Genetic Epidemiology Society, he has served as a journal reviewer for Genetic Epidemiology since 2011.

His research interests include statistical genetics, Bayesian modeling, decision modeling, machine learning, information theory, risk prediction models, survival analysis, survey data analysis and epidemiological methods.