Francisco A. Rodrigues is an associate professor at the Institute of Mathematics and Computer Science (ICMC), University of São Paulo - Brazil, the best-ranked and most renowned university in Latin America. Francisco holds a degree in Physics (2001, B.A. degree) and has a master’s degree in Computational Physics (2004), both from University of São Paulo. In 2007, he got his Ph.D. in Physics from Physics Institute of São Carlos (University of São Paulo). After that, he was a post-doctoral researcher at the same institute with Fapesp fellowship (2007-2010). In the beginning of 2010, he got a tenure-track position at the ICMC as a lecturer and researcher. He became an associate professor at the end of 2013. Francisco is a merit scholar of the Brazilian National Research Council (CNPq) since 2011, a distinction held only by a small fraction of Brazilian academics. He coordinated several research projects (including international projects). During the last years, he has been working on several problems related to the structure and dynamics of complex systems, such as the development of concepts and methods for characterization of complex networks, the study of epidemic and rumor spreading in social and technological networks, the modeling of synchronization of coupled oscillators and the development of new methods for pattern recognition and data mining. These studies have been applied in several areas, including financial market, neuroscience, systems biology, ecology, climate dynamics, and transportation networks. Francisco has published more than 60 papers in scientific journals, receiving more than 3,000 citations (Google scholar). He concluded the supervision of six master’s students two PhDs and advised about twenty undergraduate students. Francisco is an accredited primary Ph.D. supervisor at the University of São Paulo. Currently, he supervises many PhD students and master’s students, as be seen in his group page. His teaching activities in graduate and undergraduate courses are related to the fields of Statistics, Probability, Stochastic Processes and Network Science.