Teacher of Physics at the Federal University of Lavras (UFLA) and a tenured faculty member in the Graduate Program in Physics. Her scientific work has focused on the fields of Statistical Physics, Computational Physics, and Complex Systems, with an emphasis on the mathematical and computational modeling of dynamic systems and complex networks. Her research seeks to understand how interactions among the elements of these systems can generate collective patterns and emergent phenomena. To this end, she uses tools from complex networks, time series, statistical methods, computational modeling, and Bayesian inference to investigate interdisciplinary problems such as the spread of epidemics, collective behavior, brain networks, and active matter. He is currently a member of the INCT for Neural Computation (NeuroComp).
Robustness and Fragility of Susceptible-Infected-Susceptible Epidemic Models on Complex Networks; Wesley Cota, Angélica S. Mata, and Silvio C. Ferreira – Phys. Rev. E 98, 012310 (2018) was selected to be included in a collection of articles potentially relevant to combating the COVID-19 pandemic, according to the American Physical Society (https://journals.aps.org/collections/covid19O)