Alexei A. Efros is a professor at EECS Department at UC Berkeley, where he is part of the Berkeley Artificial Intelligence Research Lab (BAIR). Before that, he spent nine years on the faculty of the Robotics Institute at CMU. He did his post-doc with Andrew Zisserman at Oxford. Starting in 2007, he have also been closely collaborating with Team WILLOW at École Normale Supérieure / INRIA in Paris. The central goal of his research is to use vast amounts of visual data to understand, model, and recreate the visual world around us. His research has been mainly in data-driven computer vision, as well as its projection onto computer graphics and computational photography. Other interests include human vision, unsupervised learning, visual data mining, robotics, and the applications of computer vision to the visual arts and the humanities. For a high-level overview of his research, see a recent Heidelberg Forum talk on "Self-Supervised Visual Learning and Synthesis".