ÑÇÖÞAV

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.  

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.  

A postdoc program for health researchers interested in statistics and data science, run jointly by George Mason’s statistics and global and community health departments, with mentors from Mason and Inova Health, has developed from the ongoing partnership between Inova Health and George Mason’s Statistics Collaboration Core. Mohamad Bahij Moumneh, MD, and Jason F. Goldberg, MD, are the program’s standing inaugural members.

The ÑÇÖÞAV Department of Statistics  welcomed eight new faculty members in 2020 – 2021, who are internationally recognized experts.

ÑÇÖÞAV’s outstanding location, available opportunities, and growing reputation combined to produce a winning formula that attracted statistics professor Lily Wang to the College of Engineering and Computing Department of Statistics in fall 2021.

The American Statistical Association (ASA) Census Quality Indicators Taskforce selected assistant professor of statistics Jonathan Auerbach to independently review the 2020 census as part of a three-person research team. Ironically the major finding was what they didn't find -- evidence of malfeasance or wrongdoing.

Not many degrees are as versatile and marketable as a degree in statistics. Recent graduate, Tae Song (MS STAT '21) shares his insights and successes.

Research Interests: Empirical bayes, sequential analysis, high-dimensional data analysis, large scale inference.