Arjun Krishnan

Arjun Krishnan is an Assistant Professor of Mathematics at the University of Rochester, within the School of Arts & Sciences. His research focuses on stochastic processes and mathematical physics, particularly in first-passage percolation, KPZ universality, and directed polymers. He holds a PhD from NYU (2014) and a Master's from the University of Michigan (2008).

His work integrates probabilistic methods with geometric and dynamical systems analysis, addressing questions in stochastic homogenization, geodesic dynamics, and concentration inequalities. Key contributions include variational formulas for time constants in percolation models and studies of Tracy-Widom fluctuations in polymer systems.

Publications span topics from motor protein dynamics (2006-2011) to modern advancements in first-passage percolation theory (2013–2022), reflecting a trajectory from applied fluid mechanics to abstract probability theory. His research bridges theoretical mathematics with applications in statistical physics and biological systems.

Dr. Krishnan’s academic profile includes a 2007 study on unsteady flow dynamics and early work on mechano-chemical models of motor proteins, demonstrating interdisciplinary engagement. Office hours are held by appointment in Hylan Building 817.