Rate My Professor Xinlei Wang

Wang holds a B.S. in Automatic Control from the University of Science and Technology of China (1997), an M.A. in Statistics from the University of Pittsburgh (1998), and a Ph.D. in Decision Science and Statistics from The University of Texas at Austin (2002). Her research interests encompass statistical omics for high-dimensional biological data analysis in genomics, epigenomics, transcriptomics, proteomics, and metabolomics; Bayesian deep learning for robust neural networks with uncertainty quantification; explainable artificial intelligence; and integrative meta-analytical methods in biomedical studies. Funded by NSF, NIH, and CPRIT, her scholarship includes over 90 refereed publications and 75 conference presentations, alongside directing 19 Ph.D. dissertations. She was elected a 2024 Fellow of the American Statistical Association for contributions to statistical and computational methods for complex data, mentoring excellence, and data science leadership. An ASA member since 1999, she served as vice president (2009–10) and president (2010–11) of the North Texas Chapter.