Ke Xu

Bio

Ke Xu is a postdoctoral researcher at the Shanghai Institute of Mathematics and Interdisciplinary Sciences. She received her Ph.D. in Computational Mathematical and Statistical Sciences from Marquette University in 2025. Her research interests focus on applied statistics, particularly the use of statistical methods for medical imaging analysis.

Education Experience

• 2020-2025  Ph.D. in Computational Mathematical and Statistical Sciences, Marquette University, Milwaukee, WI
• 2018-2020  M.S. in Applied Statistics, Marquette University, Milwaukee, WI
• 2012-2016  B.A. in Mathematics and Applied Mathematics, China Agricultural University, Beijing, China

Honors and Awards

• Computational Sciences Summer Research Fellowship from Marquette University (2022-2024)

Publications

• A Bayesian Approach to 2D Acceleration That Improves the Activation Detection Rate for Simultaneously Encoded Slice Acquisition in FMRI. In submission, (2025).
• A Bayesian CAIPIVAT Approach with Through-Plane Acceleration to Enhance Efficiency of Simultaneously Encoded Slice Acquisition in FMRI. In submission, (2025).