Dr. Isabella Verdinelli

Professor

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Biography

Isabella Verdinelli is a Professor in the Department of Statistics at Carnegie Mellon University. She holds a Ph.D. from Carnegie Mellon University and has previously worked as a full professor in the Department of Statistical Sciences at the University of Rome. Her career includes roles as a student, postdoc, assistant, and associate professor, culminating in her current position at CMU. Verdinelli has a Master’s degree from University College London and is particularly focused on high-dimensional datasets that reveal interesting, hidden low-dimensional structures. Her research expertise encompasses Bayesian experimental design, Monte Carlo Markov Chains simulations, and hypothesis testing procedures using Bayes factors. Additionally, she is involved with nonparametric inference and the application of Bayesian methodologies in medical engineering. Verdinelli's work also explores multiple testing theory, particularly false discovery rates, and the identification of complex structures in data sets via concepts from manifold theory and estimation.

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.