Statistics Faculty

The Department of Statistics’ Lily Wang and George Washington University’s Huixia Judy Wang are developing scalable, distributed computing methods to analyze large-scale spatiotemporal datasets. The collaborative research project is funded by the National Science Foundation.  

Research Interests: Big Data Analytics, probability distributions, Risk Management, and Insurance

In the quest to combat Alzheimer's disease, George Mason professor Abolfazl Safikhani is working with neuroscientists and imaging experts at the University of Washington’s Alzheimer's Disease Research Center (ADRC) to pioneer groundbreaking advancements in biomarker identification. 

In two recent research projects, George Mason statistics professor Abolfazl Safikhani has applied machine learning tools to time series analysis of land use and real estate pricing to help decision-makers in urban planning and real estate.  

Statistics students and faculty can find Associate Chair Brett Hunter in his office with the door open most every day of the week, and this year, his dedication and many contributions to the department earned him the college’s Outstanding Service Award. 

William Rosenberger, distinguished university professor in Mason's Statistics Department, has been named the 41st Fisher Memorial Lecturer.

At the 2023 Joint Statistics Meeting, one of the largest statistics events in the world, George Mason’s statistics department teamed up with Georgetown’s data science department and George Washington’s statistics department to co-host the first Georges Reception. Students, alumni, faculty, and friends gathered to network with fellow DC area locals.

As one of the newest and youngest professors to join the Department of Statistics, Nicholas Rios brings a passion for teaching and learning as much from his students as they learn from him.

Research Interests: Network modeling, high-dimensional statistics, spatio-temporal models, unsupervised learning (change point detection, clustering), random forest.

Research Interests: Functional data analysis, computational statistics, Gaussian process modeling, models for compositional data analysis.