Research interests
I work at the intersection of probability theory, combinatorics and statistical physics, occassionally drawing tools from statistics, data science, machine learning and computer science. My main interest is developing and studying mathematical foundations of complex networks, through the lens of universality. Specifically, I want to better understand:
Universal structural and statistical aspects of complex networks.
Opinion dynamics and spreading processes (e.g., formation of consensus in a population).
Random optimization problems and their algorithmic aspects, such as limitations of efficient algorithms in finding optimal solutions (statistical-computational gaps).