Alexander Ku
I'm a PhD student in psychology and neuroscience at Princeton University,
where I'm advised by
Tom Griffiths and
Jon Cohen.
I'm also a part-time research scientist at
Google DeepMind.
My research broadly focuses on the dynamics of memory, learning and abstraction in
neural networks. Recently, I've been particularly interested in the interaction
between gradient-based learning and in-context inference in transformers, due
to its resemblance to neocortical and hippocampal learning in the brain.
I approach these topics through the lens of rational (Bayesian) analysis, meta-learning, and information theory.
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