About

I'm interested in how nature finds elegant solutions to complex problems, often under intense resource constraints.  

My work aims to understand both these solutions and the processes which create them, specifically with regard to intelligence.

Specifically, I study theoretical neuroscience and machine learning, working on models of cortical computation with predictive coding.

My other scientific passions include computational linguistics and economics. The former appears in much of my past and current work [see publications], as it provides a rich signature of broader intelligence, and is itself a remarkably powerful faculty thereof.

Outside of this program, I am the campaign strategist for the Poulos congressional campaign, and a mentor at Algoverse,.

I was a student in the class of 2026 at Berkeley, and will be at Cambridge in the fall for an MPhil in NeuroAI and Intelligent Systems (2026-2027).

I am happy to talk about research, collaboration, or breaking into the field; feel free to contact me.