Fan Dai

Fan Dai

Contact

  • Assistant Professor, Mathematical Sciences
  • PhD, Statistics, Iowa State University
  • Masters, Statistical and Economic Modeling, Duke University
  • Bachelor, Statistics, Shanghai University of Finance and Economics, School of Statistics and Management

Biography

Fan Dai received the Bachelor of Statistics degree from Shanghai University of Finance and Economics, School of Statistics and Management in 2013, the MS degree in Statistical and Economic Modeling from Duke University in 2015 and the PhD degree in Statistics from Iowa State University in 2020. She is currently a tenure track Assistant Professor of Statistics in the Department of Mathematical Sciences at Michigan Technological University. Her research interests include statistical inference on high-dimensional directional data, geometrically anisotropic spatial process and spatial model estimation with matrix-free computation methods and Bayesian approach. 

Research Interests:

  • High-dimensional Data Interence
  • Directional Data
  • Matrix-free Methods

Area of Expertise:

  • Statistical Computing & Graphics
  • Spatial Statistics
  • Bayesian Statistics
  • Statistical Consulting