Ching Fang

Hi, I'm Ching!

I work on research in AI and neuroscience. I'm interested in studying mechanistic circuits behind cognitive behaviors (for example, in transformers that in-context reinforcement learn) and understanding how representation structures influence learning (for example, from self-supervised learning in deep RL models or multimodal foundation models).

I am currently a research fellow at the Cambridge-Boston Alignment Initiative, after working as a postdoctoral researcher at Harvard University. I completed my PhD at Columbia University's Center for Theoretical Neuroscience, where my research centered on models of episodic memory in the hippocampus and key-value memory. I was also a previous ML research intern at Apple, working on multimodal foundation models for biosignals. I completed my undergraduate degree in computer science and molecular biology at UC Berkeley, where I worked on research studying learning in brain-machine interfaces.

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