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Hi! I'm Jerome Han.

I'm a PhD student at Stanford University studying cognitive science and artificial intelligence. I'm based in the Department of Psychology.

I'm interested in the mechanisms of efficient and lifelong learning. In humans: what is it about the brain that allows us to continuously acquire new world knowledge from a narrow and unrelenting stream of data? In machines: how might we build AI systems that do the same?

I currently explore these questions within the context of language. My work involves comparing human and LLM learning and inference, understanding in-weights and in-context learning in LLMs, and building new neural architectures that capture aspects of human learning that LLMs do not.

Before all of this, I spent two lovely years working as a machine learning engineer at Canva, and four years studying computer science and psychology at the University of Melbourne. I grew up in Australia and Singapore.

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