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Joyce Xu

AI/ML researcher specializing in NLP, reinforcement learning, and distributed computing.

Aspiring bartender, music producer, and DJ.

Chaotic neutral.

About Me

Hello! My name is Joyce Xu, and I am a Stanford undergrad studying computer science and history.

I've had the incredible fortune of working with some truly brilliant people these past few years. I am currently pursuing NLP research under Chris Manning at the Stanford AI Lab. Previously, I collaborated with some amazing researchers and engineers on multi-agent reinforcement learning at DeepMind, real-time object detection at the AI consultancy ThinkTopic, and knowledge extraction and inference at the Zuckerberg-backed personalized learning startup Volley (where I'm now back as an AI Fellow).

I began my journey entirely self-taught in CS/AI, so I feel very strongly about accessibility of code + research. At one of my previous jobs, we developed and open-sourced our own ML framework in Clojure called Cortex, on which I've given a few talks. Pieces of the RL libraries I extended at DeepMind are now being open-sourced. You can also find me writing for Hacker News, KDNuggets, AITopics (a publication of the AAAI), Towards Data Science, and Startup Grind.

When I'm not busy procrastinating, catch me skiing back home in Colorado, attending the next rave at Bill Graham, or alternately tinkering with music production and reading New Yorker articles on my bed at 4am. As long as you can handle my sleep schedule, feel free to get in touch - I'm always happy to chat :).

© 2020 Joyce Xu. All rights reserved.