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Andrew Redd, Ph.D.

Languages spoken: English

Academic Information

Departments: Internal Medicine - Research Assistant Professor, Family & Preventive Medicine - Adjunct Assistant Professor, Population Health Sciences - Adjunct Assistant Professor

Divisions: Epidemiology, Public Health

Academic Office Information

Research Interests

  • Biostatistics
  • Data Interpretation, Statistical
  • Clinical Natural Language Processing
  • Big Data Analytics
  • Data Mining in Biomedical Informatics
  • Data Analysis
  • Information Extraction
  • Models, Statistical
  • Parametric and Nonparametric Inferential Statistics
  • Statistics
Andrew Redd, Ph.D., is an Assistant Professor at the Division of Epidemiology. As a Statistician, his research interests include statistical data modeling for surveillance data, disease transmission models complex data models, network models, high performance computing, statistical programming, reproducible research methods and tool, and programming and analysis standardization.

Redd’s Dissertation work was on paired functional data analysis. His current research focuses on surveillance models and the statistical issues related to inference from data originating in information extraction and natural language process. He is an active contributor to the R statistical programming software through several add-on packages.

Redd received his Ph.D. from Texas A&M University.

Education History

Doctoral Training Texas A&M University
Internship KBSI, Inc.
Internship ATK Launch Systems
Graduate Training Texas A&M University
Undergraduate Weber State University
Applied Mathematics