Summary
Juan Perotti is a CONICET research scientist with a decade of experience studying complex systems and networks, currently focused on characterizing social networks through combined empirical and theoretical methods. His work spans statistical mechanics and complex network theory, grounded in a PhD project that connected global stability constraints to the spontaneous emergence of biological network topologies. He has held postdoctoral positions at FaMAF-UNC and Aalto University, bringing international collaboration experience and a knack for translating abstract theory into data-driven insight. Based in Córdoba, Argentina, he blends rigorous physics training with interdisciplinary approaches to social behavior, often uncovering system-level patterns not apparent from node-level analysis. Colleagues value his ability to tie stability principles to real-world network dynamics, offering explanations for ubiquity and robustness across domains.
10 years of coding experience
11 years of employment as a software developer
Lic. in Physics, Physics, Lic. in Physics, Physics at FaMAF - UNC