معرفی
Vlad Margarint is a Tenure-Track Assistant Professor in the Mathematics & Statistics Department at the University of North Carolina at Charlotte. His research focuses on mathematical physics, probability theory, and their intersections with statistical mechanics and random matrix theory. He holds a DPhil (PhD) from the University of Oxford (2015-2019) under Professors Dmitry Belyaev and Terry Lyons, and an MSc from ETH Zürich (2013-2015) under Prof. Antti Knowles. His work bridges Schramm-Loewner Evolutions (SLE), random matrices, and probabilistic number theory, with recent contributions to understanding zero distributions of random zeta functions and connections between SLE and RMT.
Key research areas include:
- Random Riemann Zeta/Diophantine L-functions and probabilistic Riemann Hypothesis analogues
- Interplay between SLE and Random Matrix Theory (e.g., using Dyson Brownian motion drivers)
- Long-range statistical mechanics models and local limit theorems
- Deterministic Loewner theory and Bessel process applications
He has taught at UNC Charlotte (Probability Theory I, Statistics), CU Boulder, NYU Shanghai, and Oxford. Recent talks include Duke University, IHES Paris, and KTH Stockholm. His work appears in journals like Random Matrices: Theory and Applications, Electronic Communications in Probability, and Journal of Statistical Physics.
