Cesar Cuenca

Cesar Cuenca is an Assistant Professor of Mathematics at The Ohio State University, within the Department of Mathematics, part of the College of Arts and Sciences. Previously, he was a Benjamin Peirce Fellow at Harvard University (2020–2023) and an Olga Taussky & John Todd Instructor at Caltech (2019–2020). He earned his PhD in Mathematics from MIT in 2019 under the supervision of Alexei Borodin.

His research focuses on Probability Theory and Algebraic Combinatorics, with particular emphasis on random matrices, random partitions, symmetric functions, and asymptotic representation theory. His work bridges probability, combinatorics, and mathematical physics, exploring topics like Jack polynomials, integrable systems, and asymptotic analysis of random structures.

His research is supported by an NSF grant (DMS-2348139, 2024–2027) and a Simons Foundation Travel Grant (MP-TSM-00006777, 2024–2029). His publications span theoretical developments in random matrix asymptotics, determinantal processes, and applications of symmetric function theory. Recent work includes studies on high-temperature particle systems, elliptic kernels, and deformation theories in representation spaces.

Cuenca’s academic journey reflects a deep engagement with algebraic structures and probabilistic methods, with contributions to both foundational theory and interdisciplinary applications in mathematical physics.