Julie Thornton

Julie Thornton is a Lecturer in Computer Science at Kansas State University, specializing in undergraduate education. With BS degrees in Computer Science and Mathematics (2003) and an MS in Computer Science (2005) from K-State, she joined the faculty in 2005. She developed courses including C Language Lab, Applied Cryptography, and Data Structures for scholars.

Her early research contributed to Bayesian network inference through the BNJ open-source toolkit, focusing on edge-deletion algorithms. As Department Chair of the Computer Science Scholars Program, she supports high-achieving students and has received multiple teaching awards for advising excellence.