Dr. Alessandro Rinaldo

Professor

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Biography

Alessandro Rinaldo is a Professor in the Department of Statistics and Data Sciences at the University of Texas at Austin. He earned his Ph.D. in Statistics from Carnegie Mellon University in 2005. Rinaldo’s research is focused on the intersection of statistics and data science, with particular interests in statistical/machine learning, nonparametric methods, big data, and network analysis. His work often bridges theoretical advancements in statistics with practical applications in data science, contributing to both academic research and collaborative projects across disciplines.

Research Interests

Statistics Big Data Machine Learning Statistical/Machine Learning Nonparametric Methods Network Analysis

Requirements for University of Texas at Austin

Master Program
Requirements
GPA Requirement
Required:3
GRE General
TOEFL
Total
Required:79
IELTS
Overall
Required:6.5
Prerequisites
Bachelor's degree from a regionally accredited institution
Application Checklist
  • Online application
  • Application fee
  • Official transcripts
  • Statement of Purpose
  • Three letters of recommendation
  • CV/Resume
Specialization Notes

General requirements for the Graduate School at UT Austin apply to all programs unless otherwise specified.