Prof. Jonathan Adam Kelner

Jonathan Kelner focuses on the application of techniques from pure mathematics to the solution of fundamental problems in algorithms and complexity theory. With the goal of developing practical algorithms for real-world questions, Kelner has made contributions in the areas of combinatorial optimization, mathematical programming, spectral graph theory, distributed computing, machine learning, computational geometry and topology, computational biology, signal processing, and random matrix theory, among others. After receiving a bachelor’s degree at Harvard University, he completed his doctoral work in computer science at MIT in 2006. Before joining the Department of Mathematics and the Computer Science and Artificial Intelligence Laboratory (CSAIL), he spent a year as a member of the Institute for Advanced Study.