Biographical Info

Eldridge’s research interests include machine learning theory, and improving the correctness of learning algorithms to improve accuracy of output. His work has been in the theory of clustering as well as understanding the process of learning.

Previously, Eldridge taught foundational computer science and algorithms at Ohio State University, and worked as a post-doctoral researcher at OSU, where he was also honored as a Presidential Fellow. He served as a graduate visitor at Simons Institute for the Theory of Computing, at UC Berkeley. He earned his Ph.D. and master’s degrees in computer science from Ohio State University, as well as dual masters’ degrees in physics and mathematics from OSU.