Sepideh Mosaferi

Sepideh Mosaferi is a Visiting Assistant Professor in the Department of Mathematics and Statistics at the University of Massachusetts Amherst. Her academic background includes a BS and MS from Allameh Tabatabai University in Tehran, Iran, a second MS from the University of Maryland, College Park, and a PhD from Iowa State University.

Her research focuses on advanced statistical methodologies with applications in real-world problems. Key areas include nonparametric statistics, Bayesian inference, computational statistics, network modeling, time series analysis, and measurement error modeling. This work emphasizes developing novel statistical models and computational techniques to address practical challenges in diverse fields.

In her publications, she explores topics like change point detection in time series, cointegrating regression in econometrics, unbiased prediction under skewed distributions, and small area estimation in environmental and demographic contexts. These contributions highlight her interdisciplinary approach to statistical theory and practice.

While no specific scientific awards are listed, her work has been noted for its excellence and innovation. She has no documented advisees or grants tied to her current role. Her affiliation with the Department of Mathematics and Statistics places her within a community focused on award-winning teaching and collaborative research.