Department of Statistics

George Mason University's Department of Statistics stands at the forefront of innovation, including in the realm of design of experiments (DoE) .This pivotal field ensuries that data collection methods are optimized to solve specific problems, making unbiased comparisons, and detecting treatment differences more effectively.

A George Mason University faculty member is working on a breakthrough in early Alzheimer's detection.

Betancourt is an expert in statistical and computational methods for data integration and network analysis, while Bai is an expert in large-scale, high-dimensional data and deep learning.

Research Interests: Biostatistics, response-adaptive randomization

Advisor: Jiayang Sun | Research Interests: Selection bias, distributional shift, crowdsourcing

Research Interests: Optimal experimental design, biostatistics

Advisor: Wanli Qiao | Research Interests: Unsupervised learning, manifold learning, dimensional reduction, clustering

Advisor: William Rosenberger, Ben Seiyon Lee | Research Interests: Biostatistics, Bayesian statistics, spatiotemporal statistics

Research Interests: Machine learning, Bayesian modeling

Advisor: David Kepplinger, Lily Wang | Research Interests: Illumination spectra inference in hyperspectral imaging, functional mean analysis, image-on-scalar regression, generative AI for functional regression