About

I'm interested in how nature finds solutions to complex problems, often under interesting constraints. This includes (but is not limited to) global behavior via local rules, Cholletian intelligence, and constrained optimization.

My research focuses on theories of neuronal mechanisms and architectures to explain and operationalize systems of natural cognition. I usually investigate with distributional or connectionist approaches.

I currently lead research both independently and at the lab of Anna Ivanova at Georgia Tech. I've also led and contributed to research at the lab of Evelina Fedorenko at MIT [see publications].

At Algoverse, I am a machine learning research mentor and senior author.

At Launchpad, I've led and contributed to machine learning research projects, and was the head of education.

At Berkeley, I taught the Linguistics 198 course on linguistic relativity [see syllabus], and am a student in the class of 2026.