Aparna Dev

This paper introduces DataDIVER, an automated method for discovering computational models from data, which reveals novel insights into human and animal learning.

The paper introduces WHOLISTIC, a method to image cellular activity across all organs of a vertebrate, revealing body-wide circuits and responses to stimuli.

LLM-driven evolutionary program synthesis (CogFunSearch) discovers interpretable Python cognitive models that predict bandit-task choices of humans, rats and fruit flies better than leading hand-designed models.