Marianna Pensky

Marianna Pensky is a Professor of Mathematics at the University of Central Florida (UCF), affiliated with the College of Sciences. She holds a PhD from Moscow State University (1988) and has been at UCF since 1995. Her research focuses on Data Science, Machine Learning, and Mathematical Statistics, with specializations in Bayesian methods, nonparametric statistics, inverse problems, and network models. She has published over 100 refereed articles in top journals and is an elected Fellow of the Institute of Mathematical Statistics, American Statistical Association, and International Statistical Institute. In 2023, she was awarded the Pegasus Professorship, UCF's highest honor. Dr. Pensky serves as Chief Editor of the Journal of Statistical Planning and Inference and Associate Editor of the Annals of Statistics. She has mentored 13 PhD and 9 MS students, all of whom secured post-degree employment.

Her work spans theoretical and applied statistics, including contributions to stress-strength models, empirical Bayes estimation, and statistical inverse problems. Recent research emphasizes network models and multiplex clustering, with applications in bioinformatics and engineering. Dr. Pensky’s methodologies address high-dimensional inference, wavelet-based techniques, and robust statistical frameworks.