Aleix M. Martinez is a Sr. Manager of Applied Sciences at Amazon and a Professor in the Department of Electrical and Computer Engineering at The Ohio State University (OSU). Prior to joining Amazon and OSU, he was with the Department of Electrical and Computer Engineering at Purdue University, and a Research Scientist at the Sony Computer Science Lab. Aleix has served as Associate Editor of several journals, including IEEE Transactions on PAMI, been an Area Chair for many top conferences, and, in 2014, was Program Chair of CVPR. Aleix is most known for being the first to define many problems and solutions in face recognition (e.g., recognition under occlusions, expression, imprecise landmark detection), discriminant analysis (e.g., Bayes optimal solutions, subclass-approaches, optimal kernels), structure from motion (e.g., using kernel mappings to better model non-rigid deformations, noise invariance), demonstrating the existence of a much larger set of cross-cultural facial expressions of emotion than previously known (i.e., compound emotion) as well as the transmission of emotion through changes in facial color, and defining a new algebraic topology approach to explaining how deep networks learn to generalize. He has received best paper awards at CVPR and ECCV, a Google Faculty Research award, a Lumely Research Award, and, from 2012-2018, he served as a member of NIH’s Cognition and Perception study section. His research has been featured by the media, including NYTimes, CNN, NPR, Washington Post, Time, The Guardian, Spiegel, El Pais, and Le Monde, among others.