R. Teal Witter
R. Teal Witter is an Assistant Professor of Mathematics and Computer Science at Claremont McKenna College. His recent research explores randomized algorithms for problems in explainable AI and generative AI. More broadly, he is interested in leveraging ideas from theoretical computer science to design randomized algorithms for machine learning applications.
R. Teal Witter completed his Ph.D. in Computer Science at New York University, where he was advised by Chris Musco and Lisa Hellerstein and supported by an NSF Graduate Research Fellowship. Prior to graduate school, he attended Middlebury College, where he was mentored by Shelby Kimmel.
Research Interests
Computational Learning Theory, Graph Algorithms, Discrete Mathematics, Quantum Computing