Ching Fang

Image of Ching Fang, neuroscientist at Columbia University.
Hi, I'm Ching!

I am a postdoc at Harvard University in Kanaka Rajan's lab, interested in understanding mechanisms underlying natural and artificial intelligence. I completed my PhD at Columbia University's Center for Theoretical Neuroscience, co-advised by Larry Abbott and Dmitriy Aronov.

In past work, I've focused on understanding the role of episodic memory in learning and the dynamics of representation learning in RL. This includes work connecting hippocampal memory to key-value memory & self-attention, and work connecting self-supervised representation objectives in RL to neural activity.

I was also a previous ML research intern at Apple, working on multimodal foundation models for biosignals. I previously completed my undergraduate degree at UC Berkeley, where I studied computer science and molecular & cell biology. There, I worked in the lab of Jose Carmena to understand how neural circuits drive learning in brain-machine interfaces. I also worked in the labs of Daniel Feldman and Anne Collins.

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