Data Science Faculty

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Rajesh Talluri, PhD

Rajesh Talluri.jpgAssistant Professor
PubMed articles
Curriculum Vitae

Dr. Talluri's strength is developing novel statistical methods using interdisciplinary approaches from signal processing, information theory and computer science. He embraces any new problem that comes up, and his research is veering towards machine learning approaches and their applicability to discover novel clinical and genetic factors involved in diseases like obesity, diabetes, dementia and cancer. Rajesh has a strong computational background with experience in parallel computation and big data analyses. He is a strong proponent of reproducible research and uses R and Rstudio for fostering a reproducible workflow for his research. Rajesh is very interested in developing user-friendly tools to encourage the use of novel statistical methods by clinicians and basic scientists.


  • Talluri R, Shete S. Using the weighted area under the net benefit curve for decision curve analysis. BMC Med Inform Decis Mak. 2016 Jul 18;16:94. doi: 10.1186/s12911-016-0336-x.  PMID: 4949771
  • Talluri R, Shete S. Evaluating methods for modeling epistasis networks with application to head and neck cancer.  Cancer Inform. 2015 Feb 10;14(Suppl 2):17-23. doi: 10.4137/CIN.S17289. eCollection 2015.  PMID: 25733798