Lauro Lins received a BSc/MSc in Computer Science and a PhD in Computational Mathematics from Universidade Federal de Pernambuco (Brazil, 1996-2007). During this period, Lauro also worked as the main software designer and developer of a small company that deployed optimization software for some industrial operations (e.g. corrugated paper cut for Klabin, pallet loading for WalMart’s local branch). From 2008-2010, he worked as a Post-Doc at the Scientific Computing and Imaging Institute at University of Utah. From 2010-2012, Lauro has worked as an Assistant Research Professor at NYU-Poly. In the end of 2012, Lauro joined AT&T labs as a researcher of the information visualization department. Lauro’s current research is in the area of information visualization and is focused on three fronts: (1) data structures for interactive visualization of big data (2) design of new visual encodings and interaction modes that are effective for specific data analysis tasks (coordinated tag lenses, timed word trees); (3) a model that brings a free-form and fluid experience to data analysis and visualization (defog system).