Nicholas A Cook

Nicholas A Cook is an Assistant Professor of Mathematics at Duke University, affiliated with the Mathematics department. His research focuses on areas such as Brownian motions on $\mathrm{GL}(N,\mathbb{C})$, homomorphism counts in sparse random hypergraphs, and exponential random graph models. He has contributed to preprints and journal articles, including work published in the Annals of Applied Probability. Cook is also involved in several grants, including an RTG grant for training in analysis and applications and a project on large deviations and extremes for random matrices, tensors, and fields. He earned his Ph.D. from the University of California, Los Angeles, in 2016.

Nicholas Cook is a mathematician in the Mathematics Department at Duke University, specializing in random matrices, random graphs, and high dimensional probability. His research explores the spectral properties of structured random matrices, large deviations in subgraph counts for sparse Erdős–Rényi graphs, and the behavior of eigenvalues in non-Hermitian random matrices. Cook's work also includes the study of discrepancy properties in random regular digraphs and the universality of Poisson limits for moduli of roots of Kac polynomials. His contributions focus on understanding the asymptotic behavior and structural properties of complex random systems.