Alexander Fung

Hi, I’m Alex 👋 I analyze large neural datasets.

I’m a predoctoral researcher interested in the structure of neural representations underlying behavior. I use statistical tools and artificial neural network models to understand how factors like internal states, task statistics, and connectivity shape neural population activity and dynamics.

I’m applying to PhD programs in 2027! I’m looking for systems neuroscience labs that combine experimental and computational approaches.

Until August 2026, I was a research assistant in Ramon Nogueira’s lab at UChicago, where I studied the neural geometry of decision-making across the mouse brain. Previously, I was a research assistant with Ev Fedorenko at MIT, where I studied language and reasoning in brains and large language models [bioRxiv] [PNAS] [CCN2024]. As an undergraduate at UC Berkeley, I worked on the protein folding problem with Yun S. Song [bioRxiv] [PSB2022]. My research journey thus far has only been possible because of the wonderful mentorship I’ve received.