Rishika Mohanta

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

The paper generates a reference brain for the clonal raider ant using confocal microscopy and 3D registration, revealing interindividual brain variability despite genetic and age homogeneity.

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.