Daniel Marcelino is senior data scientist at JOTA in Brasilia. Specializing in quantitative methods, bayesian modeling and sampling techniques, he develops and writes with strong passion about data, public opinion, jurimetrics, and Congressional legislation and roll-call votes predictability. Pior to joining JOTA, he worked at the Curitiba City Hall, IPEA (The Institute for Applied Economic Research), and was visiting researcher at York University in Toronto. He holds a master degree in comparative studies from the University of Brasilia, and a doctorate in progress at the University of Montreal.