Veera Baladandayuthapani

Dr. Veera Baladandayuthapani is a Professor in the Department of Biostatistics at the University of Michigan School of Public Health. He serves as the Director of the Cancer Data Science Shared Resource and previously held positions as Professor and Institute Faculty Scholar at the University of Texas MD Anderson Cancer Center. His research focuses on high-dimensional data modeling and Bayesian inference, with applications in genomics, epigenomics, transcriptomics, proteomics, and cancer imaging.

• PhD, Statistics, Texas AandM University, 2005
• MA, Statistics, University of Rochester, 2000
• BS, Mathematics, Indian Institute of Technology (IIT) Kharagpur, 1999

His research develops Bayesian probabilistic models and machine learning methods for biomedical big data, emphasizing integrative models combining multi-omics and imaging data for biomarker discovery and clinical prediction. Current projects include Bayesian hierarchical models, graphical models, and scalable software tools for precision medicine.

Recent publications span Bayesian graphical regression, proteogenomics, and spatial cellular interaction modeling. He holds multiple NIH and NSF grants for advancing biostatistical methods in oncology.

• Fellow of the American Statistical Association
• Elected member of the International Statistical Institute

He has advised numerous PhD students and postdoctoral researchers, with alumni positions at institutions like Emory University, University of Warwick, and Pfizer. His BayesRx research group actively recruits post-doctoral fellows.