Dr. Vinayak Rao

Associate Professor

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Biography

Vinayak Rao is an Associate Professor in the Department of Statistics at Purdue University, with a courtesy position in the Department of Computer Science. His research focuses on Bayesian Computational Methods, Statistical Inference, Decision Theory, and Machine Learning. He has expertise in Markov Chain Monte Carlo techniques and Nonparametric Regression/Density Models, as well as in Time Series analysis. Dr. Rao has guided numerous Ph.D. students and has held postdoctoral positions at Duke University, specializing in Statistical Science. His educational background includes a Ph.D. in Machine Learning from University College London, completed in 2012. He is recognized for his contributions to the field with awards such as the Savage Award.

Research Interests

Bayesian Computational Methods Statistical Inference Decision Theory Machine Learning Markov Chain Monte Carlo Nonparametric Regression/Density Models Time Series

Experience

Postdoctoral Research Associate

— Present

Duke University • Durham, NC

Worked in the field of Statistical Science focusing on advanced statistical methodologies.

Requirements for Purdue University

Master Program
Requirements
GPA Requirement
Required:3
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:80
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:6.5
Prerequisites
One semester of Calculus One semester of Statistics (recommended) Knowledge of Computer Programming (recommended)
Application Checklist
  • Transcripts
  • Recommendation Letters
  • Statistics Questionnaire
  • Academic Resume
  • Academic Statement of Purpose
  • Personal History Statement
Specialization Notes

GRE is optional.