Ednaldo José Ferreira, Ph.D degree in Computer Science and Computational Mathematics at the Institute of Mathematics and Computer Science of the University of São Paulo. Data Science researcher at Embrapa Instrumentation (Brazil – SP), working with research, development and innovation in areas/subareas of Statistics, Artificial Intelligence, Machine Learning and Data Science/Mining focused on agriculture and its food production challenges. The main research themes are related to ensemble modeling, feature selection, optimization, information fusion and computer vision, especially applied to precision agriculture, plant phenotyping, remote sensing and coffee quality. During COVID-19, he teamed with other researchers aiming to apply the data science framework to extract information and insights from surveys for tracking the pandemic evolution as well as spreading the word in Brazil.