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