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 neuronal mechanisms to model and operationalize the unique 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 a research startup, he mentors student teams on research projects aimed at publishing in machine learning and computational linguistics conferences.

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