Yann LeCun is Director of the Center for Data Science at New York University, and Silver Professor of Computer Science, Neural Science, and Electrical Engineering at the Courant Institute of Mathematical Science, the Center for Neural Science, and NYU-Poly ECE Department.
He received the Electrical Engineer Diploma from Ecole Supérieure d'Ingénieurs en Electrotechnique et Electronique (ESIEE), Paris in 1983, and a PhD in Computer Science from Université Pierre et Marie
Curie (Paris) in 1987. After a postdoc 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 period as Fellow at the NEC Research Institute in Princeton. His current interests include machine learning, computer perception and vision, mobile robotics, and computational neuroscience. He is the recipient of the 2014 IEEE Neural Network Pioneer Award. 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 AT&T, Google, Microsoft, NEC, Baidu, and others for document recognition, human-computer interaction, image indexing,
and video analytics. He has been on the editorial board of IJCV, IEEE PAMI, IEEE T. Neural Networks, was program chair of CVPR'06, and is chair of ICLR 2013. He is on the science advisory board of Institute for Pure and Applied Mathematics and is the co founder of several technology startups.