This interview took place at the Deep Learning Summit, San Francisco 2017.

Andrej is a 5th year PhD student at Stanford University, studying Deep Learning and its applications to Computer Vision and Natural Language Processing. In particular, his recent work has focused on Image Captioning, Recurrent Neural Network Language Models and Reinforcement Learning. On a side, he enjoys implementing state of the art Deep Learning models in Javascript, competing against Convolutional Networks on the ImageNet challenge, and blogging. Before joining Stanford he completed an undergraduate degree in Computer Science and Physics at the University of Toronto and a Computer Science Master's degree at the University of British Columbia.