Dr. Yandi Shen

Assistant Professor

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Biography

Yandi Shen is an Assistant Professor in the Department of Statistics and Data Science at Carnegie Mellon University. He obtained his Ph.D. in Statistics from the University of Washington in 2021, under the supervision of Fang Han and Daniela Witten. Prior to his current position, he was an instructor in Statistics at the University of Chicago from 2021 to 2023 and worked as a postdoctoral researcher in the Department of Statistics and Data Science at Yale University, hosted by Zhou Fan. His research interests broadly encompass nonparametric and semiparametric statistics, high-dimensional inference, and applied probability, focusing on theoretical advancements and practical applications in these areas.

Research Interests

Nonparametric Statistics Semiparametric Statistics High-Dimensional Inference Applied Probability

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.