As of Summer 2016 I am a Research Scientist at OpenAI working on Deep Learning, Generative Models and Reinforcement Learning. Previously I was a Computer Science PhD student at Stanford, working with Fei-Fei Li. My research centered around Deep Learning and its applications in Computer Vision, Natural Language Processing and their intersection. In particular, I was interested in fully end-to-end learning with Convolutional/Recurrent Neural Networks architectures and recent advances in Deep Reinforcement Learning. Over the course of my PhD I squeezed in two internships at Google where I worked on large-scale feature learning over YouTube videos, and last summer I interned at DeepMind and worked on Deep Reinforcement Learning and Generative Models. Together with Fei-Fei, I designed and taught a new Stanford undergraduate-level class on Convolutional Neural Networks for Visual Recognition (CS231n). The class was the first Deep Learning course offering at Stanford and has grown from 150 enrolled students last year to 330 students this year.