Yann LeCun is Silver Professor of Computer Science and Neural Science at the Courant Institute of Mathematical Sciences and the Center for Neural Science of New York University. After an Electrical Engineer Diploma from ESIEE (Paris), he obtained a PhD in Computer Science from Université Pierre et Marie Curie (Paris) in 1987, and became a postdoctoral fellow at the University of Toronto. He joined AT&T Bell Laboratories in Holmdel, NJ, in 1988, and became head of the Image Processing Research Department at AT&T Labs-Research in 1996. He joined NYU as a professor in 2003, after a brief tenure at the NEC Research Institute in Princeton. His current interests include machine learning, computer perception and vision, robotics, and computational neuroscience.  He has published over 150 technical papers and book chapters on these topics as well as on neural networks, handwriting recognition, image processing and compression, and VLSI design. His handwriting recognition technology is used by several banks around the world to read checks.  His image compression technology, called DjVu, is used by hundreds of web sites and publishers and millions of users to access scanned documents on the Web, and his image recognition methods are used in deployed systems by companies such as Google, Microsoft, NEC, France Telecom and several startup companies for document recognition, human-computer interaction, image indexing, and video analytics. He is the co-founder of MuseAmi, a music technology company.