About

George Flint is a student and researcher of cognitive science and machine learning in the Class of 2026 at UC Berkeley.

He is primarily interested in theoretical cognitive science, focusing on the neuronal mechanisms underpinning cognition and computation, at all scales, and their emergence, investigated computationally. He endeavors to create artificial models inspired by nature to describe and harness parsimonies and abilities of natural cognition.

He has led and contributed to research at the lab of Evelina Fedorenko at MIT and the lab of Anna Ivanova at Georgia Tech [see publications].

At Launchpad, he is the head of education, a project leader, and a machine learning engineer.

At Berkeley, he created and instructed the Linguistics 198 course on linguistic relativity [see syllabus].

At a research startup, he mentors 16 student teams on research projects aimed at publishing in machine learning and computational linguistics conferences.