Rate My Professor Francisco Rodrigues

Francisco A. Rodrigues is a Full Professor of Complex Systems and Data Science at the Institute of Mathematics and Computer Science (ICMC) of the Universidade de São Paulo, where he heads the Department of Applied Mathematics and Statistics. He holds a bachelor's degree in Physics (2001) and a master's degree in Computational Physics (2004), both from the University of São Paulo, and earned his PhD in Physics from the Physics Institute of São Carlos at the same university in 2007. Following his doctorate, he completed postdoctoral research at the Physics Institute of São Carlos with a FAPESP fellowship from 2007 to 2010. He joined the ICMC in 2010 as a lecturer and researcher, advancing to associate professor in 2013 and Full Professor in 2022. Rodrigues has served as a visiting professor at the University of Warwick (2018–2019) and as a visiting researcher at institutions including the Potsdam Institute for Climate Impact Research, the University of Zaragoza, and the Complexity Science Hub Vienna.

His research focuses on the structure and dynamics of complex systems and data science, with interests in epidemic models, causal inference, machine learning, synchronization of coupled oscillators, and social dynamics, applied across epidemiology, neuroscience, systems biology, ecology, economy, climate dynamics, and transportation networks. He has authored more than 160 scientific papers in journals such as Nature Communications, Physical Review Letters, and Physics Reports, accumulating over 12,000 citations (h-index 43). Rodrigues is the author of the book An Introduction to Multiplex Networks: Basic Formalism and Structural Properties (Springer, 2018). He is a merit scholar of the Brazilian National Research Council (CNPq) since 2011 and has coordinated more than 50 research projects. He serves as editor or associate editor for journals including the Journal of Complex Networks, Chaos, Solitons & Fractals, Journal of Computational Science, Europhysics Letters, Journal of Physics: Complexity, and New Journal of Physics. In 2025, he received the Friedrich Wilhelm Bessel Research Award from the Alexander von Humboldt Foundation. He has supervised numerous master's, PhD, and postdoctoral researchers and teaches courses in data science, statistics, mathematical modelling, stochastic processes, network science, and complex systems.

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