Keyi Wang is an incoming PhD student in Statistics at Temple University. She holds a master's degree in Statistics from Columbia University, and a bachelor's degree in finance from Beijing Forestry University. Her previous research focused on Bayesian methods and their applications in efficiency analysis, particularly in improving Data Envelopment Analysis (DEA) through probabilistic models. Her research interests include Bayesian methods, high-dimensional data analysis, and applying uncertainty quantification to solve practical problems.