Isa Verdinelli

Isa Verdinelli is a Professor in Residence in the Department of Statistics and Data Science at Carnegie Mellon University. She maintains an office in Baker Hall 232 H in Pittsburgh, PA, and can be reached at isabella@stat.cmu.edu. She has co-authored a book titled "All of Regression" with L. Wasserman.

Dr. Verdinelli's research interests span several areas of statistics and data science:

• Bayesian Statistics and Inference
• Nonparametric Statistics and Estimation
• Machine Learning and Statistical Learning
• Experimental Design and Optimization
• Manifold Learning and Geometric Statistics
• Feature Selection and Variable Importance

Her recent work demonstrates a strong focus on developing novel statistical methodologies with applications in machine learning, particularly in the areas of feature importance, manifold learning, and nonparametric estimation. She has made significant contributions to the understanding of Bayesian experimental design, with publications spanning several decades. Her research often bridges theoretical statistical developments with practical applications across various domains.

Dr. Verdinelli has received recognition for her contributions to statistical methodology, though specific awards are not mentioned in the available information.

She has co-authored numerous influential papers in top statistical journals and has contributed to the advancement of statistical science through her research on Bayesian methods, nonparametric techniques, and statistical learning theory. Her work on the book "All of Regression" suggests she is also committed to statistical education and the dissemination of statistical knowledge.