Jakob Uszkoreit is a Software Engineer in the Google Brain research team. There he works on deep learning approaches to understanding and generating language, images and other modalities, with applications ranging from machine translation to image super-resolution. He previously started and led the team that designed and maintained the semantic parser behind the Google Assistant, after working on Google Translate in its earlier years. His research interests revolve around models that learn from weak supervision how to understand and ultimately interact with the world through language and vision.

Siva Reddy is a postdoctoral researcher at the Stanford NLP group. His research goal is to make conversing with computers as easy as conversing with your friend in order to access information and accomplish tasks. Towards this end, he is developing fundamental representations of language which allow computers to understand language and reason. He chose to work on NLP partly due to his personal background. He was born in a village in Southern India, where most of his childhood was spent on farms chasing monkeys to save the crop. He did not know anything about computers until the age of eighteen while the entire western world is already embracing them. While he is fortunate that he can now use computers, many people back home lack basic education and can never use computers unless the interaction with computers becomes natural, which is where language comes in. Through increasing the natural language capabilities of computers, millions of underprivileged and uneducated can then benefit from technology. Siva invites bright students like you to pursue NLP and push the boundaries of what is possible.

Margaret Mitchell is a Senior Research Scientist in Google's Research and Machine Intelligence group, working on artificial intelligence. Her research generally involves vision-language and grounded language generation, focusing on how to evolve artificial intelligence towards positive goals. This includes research on helping computers to communicate based on what they can process, as well as projects to create assistive and clinical technology from the state of the art in AI.​