Vlad Margarint

My research explores several independent directions that are part of broad research programs at the intersection of Probability, Analysis, and Mathematical Physics. These include the rigorous analysis of Statistical Mechanics models; the study of stability, approximations, and pathwise behavior of Schramm–Loewner Evolutions (SLE) via Rough Path techniques; Random walks on Random Graphs, Random Matrix Theory (RMT) and its connections with SLE; as well as aspects of Probabilistic Number Theory. While each direction addresses distinct problems, together they reflect a broader focus on developing analytical and probabilistic methods to understand complex systems, scaling limits, probabilistic models of primes, and connections between seemingly distinct areas such as SLE and RMT. 

To view personal research, please visit: https://margarintvlad.com/