Shiyang joined our faculty as an assistant professor in I/O Psychology in the fall of 2018. She received her Ph.D. in Educational Psychology (Measurement), M.A. in Educational Psychology (Learning & Cognition), and M.S. in Statistics, all from the University of Minnesota Twin Cities. Her graduate training in psychometrics and statistics allows her to apply and extend innovative quantitative methods/models to study a wide range of topics in social and behavioral sciences, including developing and improving assessments with better psychometric qualities, applying and refining statistical models to enhance understanding of employee well-being, exploiting modern psychometrics including item response theory. She is also interested in utilizing innovative analytical approaches such as machine learning and data mining algorithms to analyze high-dimensional data to advance the understanding of attributes in I/O psychology. She was a consultant intern at the clinical assessment division of Pearson.