Sébastien M. R. Arnold
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I work at Google, where my research attempts to answer:

How can intelligent agents reuse and adapt their knowledge to quickly solve new tasks?

This question drives my work on multi-task and meta-learning, with a special focus on discovering inductive biases for transfer and adaptation.

I completed my PhD at USC where I was advised by Fei Sha and collaborated closely with Maja J. Matarić. Before that, I had the chance to work on distributed optimization with Chunming Wang and build a robot cat with Francisco Valero-Cuevas, while earning degrees in computer science and mathematics.

I was and remain an avid skier.