Veera Baladandayuthapani, PhD


I am a statistician and (broadly) a data scientist, working at the intersection of statistics, biology and medicine. My research interests are mainly in high-dimensional data modeling and Bayesian inference. This includes functional data analyses, Bayesian graphical models, Bayesian semi-/non parametric models and machine learning. These methods are motivated by large and complex datasets such as high-throughput genomics, epigenomics, transcriptomics and proteomics as well as high-resolution neuro- and cancer- imaging. A special focus is on developing integrative models combining different sources of data for biomarker discovery and clinical prediction to aid precision/translational medicine.

Recent talks/interviews: an overview of Bayesian methods for Integrative Modeling in ‘Omics data  is here and  a (very high-level) overview of Big Data in Oncology is here; A recent radio interview about our imaging-genetics work (given by one my students on our joint work)

More about my publications is here, about my group is here and the softwares developed by our group here

My research is supported by several grants from NIH, NSF and internal MD Anderson funds

My non-quantitative existence consists of my wife Upali (a high-profile Architect/Researcher!)  and two boys: Aarith and Aayush (who broke all my prior beliefs on parenthood!)

Here is a link to my official MD Anderson page:


Associate Professor

Department of Biostatistics, 
University of Texas MD Anderson Cancer Center
1515 Holcombe Blvd, Unit 1411
Houston, Texas, USA
Phone: 713-563-4268
Fax: 713-562-4243

Curriculum VitaeHome_files/veera_cv_2016.pdfHome_files/veera_cv_2016_1.pdfshapeimage_2_link_0