Dr. Rajarshi Guhaniyogi

Professor

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Biography

Rajarshi Guhaniyogi is a professor and associate head in the College of Arts and Sciences at Texas A&M University. His research interests broadly encompass Bayesian parametric and non-parametric methodology, with a particular emphasis on complex biomedical applications of machine learning. His ongoing research focuses on scalable Bayesian methods for big data and incorporates techniques for dimensionality reduction, as well as spatial and spatio-temporal statistics. Additionally, he works on the analysis of functional object data, which includes networks and tensor data.

Research Interests

Bayesian Methods Machine Learning Big Data Dimensionality Reduction Spatial Statistics Spatio-Temporal Statistics Functional Data Analysis

Requirements for Texas A&M University

Doctorate Program
Requirements
GPA Requirement
Required:3
GRE General
TOEFL
Total
Required:80
Prerequisites
Baccalaureate degree Baccalaureate degree in Communication or related field preferred
Application Checklist
  • Curriculum Vita
  • Statement of Purpose (500-750 words)
  • Writing Sample (up to 10,000 words)
  • Three Letters of Recommendation
  • Unofficial Transcripts
  • GraduateCAS Application
Specialization Notes

Department: Department of Communication and Journalism. Ph.D. program only currently admitting. GRE is test-optional.