He obtained his BS in Cognitive Science in 2005 from UCLA, and his PhD in Psychology from UT Austin in 2012. He completed postdoctoral work at NYU’s Center for Neural Science prior to beginning his position at McGill. Otto’s work relies on a combination of computational, behavioral, and psychophysiological, and (more recently) “big data” techniques to understand how people make decisions both in the laboratory and in the real world. His lab’s work is supported by the National Science and Engineering Research Council (NSERC) and the Fonds de recherche du Quebec – Nature et technologies (FRQ-NT). [website]