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I went to MIT for undergrad and grew up in beautiful Lincoln, MA.

My research focuses on deep learning and artificial intelligence, with a strong emphasis on deep generative models.

I’m a researcher at OpenAI, currently working on multimodal AI systems.

I'm a Research Scientist at Google Brain, working at the intersection of machine learning and robotics.

Outside of work, I perform improv comedy (poorly) and play the piano (even moreso).

TLDR: A completely automated system that leverages StyleGAN to identify “object-like” semantic neurons, and labels them using CLIP for an end-to-end …

I describe four human roles adjacent to the typical machine learning model, and go through what areas of research would shift power to each of them.

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