Dr. David Choi

Associate Professor

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Biography

David Choi is an Associate Professor in the Department of Statistics and Data Science at Carnegie Mellon University. He previously worked as a research scientist at MIT Lincoln Laboratory and served as a visiting scholar in the Department of Statistics at the University of California, Berkeley. David completed his graduate studies at the Information Systems Laboratory in the Department of Electrical Engineering at Stanford University, where he was advised by Benjamin Van Roy. He earned his PhD from Stanford University in 2004. His research interests encompass a wide array of statistical methodologies and machine learning techniques, particularly in relation to network data. He specializes in exploratory data analysis, community detection, and causal inference, with a keen interest in understanding the effects of social networks on various phenomena.

Research Interests

Requirements for Carnegie Mellon University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
GRE General
Verbal
Required:158
Quantitative
Required:149
Analytical Writing
Required:4
Overall
Required:4
Prerequisites
Bachelor's degree in Psychology or related field Research experience/publications
Application Checklist
  • Online application
  • Statement of Purpose
  • Three letters of recommendation
  • Transcripts
  • GRE scores (optional but reported in profile)
  • English Proficiency (TOEFL/IELTS/Duolingo)
Specialization Notes

Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.