Rao Jammalamadaka

Rao Jammalamadaka is a Distinguished Professor in the Department of Statistics and Applied Probability at the University of California, Santa Barbara. His research focuses on mathematical statistics, probability, and their applications to circular data analysis, Bayesian methods, and survival analysis. He holds a PhD from the Indian Statistical Institute.

Education:
PhD in Statistics, Indian Statistical Institute.

Research Interests:
Dr. Jammalamadaka’s work spans foundational and applied statistical theory. Key areas include circular statistics, Bayesian model selection, hypothesis testing for directional data, multivariate analysis, and applications in biostatistics and actuarial science. He has pioneered methods for analyzing circular data using von Mises and wrapped stable distributions, with applications to wind direction modeling, medical imaging (e.g., OCT data), and survival analysis in pandemic studies.

Advising & Grants:
While specific advising details are not listed, his extensive publications suggest mentorship in statistical methodology and interdisciplinary research. Grants and funding information are not explicitly mentioned in the provided text.

Labs/Teams:
No specific laboratories or research groups are detailed here, though his work implies collaboration with interdisciplinary teams in biostatistics and data science.