Dr. Kai-Sheng Song

Dr. Kai-Sheng Song is a Professor of Statistics at the University of North Texas. He earned his Ph.D. in Statistics from the University of California, Davis, in 1993, followed by visiting professorships at Purdue University and Texas A&M University. He began his tenure-track career at Florida State University, where he rose to the rank of Associate Professor with tenure before joining the faculty at the University of North Texas in 2007.

Throughout his career, Dr. Song has been recognized for excellence in both research and pedagogy. He is a recipient of the Florida State University Teaching Award (2000) and the IBM Faculty Award (2005), and is a two-time recipient of the Faculty Teaching Award from the UNT Department of Mathematics (2018, 2022). His expertise is sought after at both national and international levels; he has served on review panels for the National Science Foundation (NSF) and the Department of Defense (DoD), and as a grant reviewer for the National Security Agency (NSA) and the Natural Sciences and Engineering Research Council of Canada (NSERC). Since 2011, he has served as an Associate Editor for the Biometrical Journal.

Dr. Song has broad research interests reflected in diverse publications in top-tier journals including the Annals of Statistics, JASA, and IEEE Transactions (Information Theory, Signal Processing, and Image Processing), alongside two awarded US patents. His current research includes advanced quantization techniques for image compression and LLM architectures, sparse high-dimensional mixed regression and compositional data analysis, actuarial credibility theory, and stochastic processes such as Kalman filters, Hawkes, and jump-diffusion models with applications in finance and economics.