Katie Brodhead, PhD
Katie Brodhead earned her Ph.D. in mathematics with focus in theoretical computer science from the University of Florida. The theoretical work deals primarily on computability and randomness. Her applied work in computer science is within machine learning, with an emphasis on neural networks, deep learning, and natural language processing. In computer science, she additionally has a MS degree and a BS degree, both from Florida State University. In mathematics, she also has an MS degree from the University of Florida, as well as a BS degree from the University of Wisconsin-Madison.
Prior to her appointment in computer science at Florida State University, Dr. Brodhead was an Associate Professor at Florida Agricultural and Mechanical University. She also previously held visiting Assistant Professor positions at Florida Atlantic University and the University of Hawaiʻi at Mānoa. She was also an Associate Professor at Indian River State College.
Dr. Brodhead has published in various journals including Logical Methods in Computer Science, Journal of Logic and Computation, Annals of Pure and Applied Logic, Archive for Mathematical Logic, and has various proceedings within Lecture Notes in Computer Science.