Mai Dao

Mai Dao is an Assistant Professor in the Department of Mathematics, Statistics, and Physics at Wichita State University's Fairmount College of Liberal Arts and Sciences. She earned her Ph.D. from Texas Tech University under the mentorship of Professors Min Wang and Souparno Ghosh.

• Research Focus: Bayesian statistics, high-dimensional inference, and statistical machine learning
• Contact: mai.dao@wichita.edu | Jabara Hall 319 | Office hours: Tue & Thu 3:30-4:30 p.m.

Research Interests include:

• Bayesian quantile regression
• High-dimensional data analysis
• Statistical machine learning algorithms
• Variable selection techniques
• Computational statistics
• Econometric modeling

Recent Article Trends: Mai Dao's publications (2021-2025) emphasize Bayesian quantile regression methods, focusing on variable selection, high-dimensional inference, and computational approaches. Key themes include handling non-ignorable missing data, macroeconomic stress testing, and bridge-randomized regression techniques.

Academic Expertise spans:

• Bayesian statistical modeling
• High-dimensional inference
• Machine learning applications
• Quantile regression methodologies
• Statistical computing