ÑÇÖÞAV

By developing a new machine learning algorithm to apply variational inference to spatial statistics, Jin Hyung Lee has significantly improved high-dimensional data analysis efficiency and accuracy. The PhD candidate in the Department of Statistics received the 2024 Korean International Statistical Society Outstanding Student Paper Award for his work.

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 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.  

Research Interests: Robust methods for high-dimensional problems, computational statistics, applications in the life sciences.