About

I'm an incoming PhD student at MIT doing computational neuroscience. Previously, I completed my undergrad at MIT where I majored in computer science and neuroscience.

I study the neural circuits and representations that make intelligence possible. Specifically, I ask: how do the connectivity, learning rules, and activity patterns of a network, whether neural or artificial, enable rapid learning, generalization, and memory? In Prof. Ev Fedorenko’s Language Lab, I investigated whether a predictive geometry observed in brain activity emerges in large language models, shedding light on the computations that support language processing. Now, in Prof. Ila Fiete’s lab, I’m building biologically plausible neural network models of learning, memory, and top-down cognition.

See also: CV · Publications · Reading · Writing