Arnau Marín-Llobet

Arnau Marín-Llobet

Round Pushpin United StatesGraduation Cap PhD StudentClassical Building Harvard UniversityBooks Machine Learning/Technical AI, Neuroscience/Cognitive Science


Project

ALIGN: Assessing Learning and Internal Geometry of Neural Vision Models through Human Data

Project Overview

The ALIGN project aims to develop human-grounded behavioral and fMRI metrics to evaluate how closely AI vision and vision-language models (e.g., CLIP, DINO, ResNet, ViT) align with human conceptual and neural representations. The project consists of two major components: (1) data collected using behavioral and neuroimaging methods; (2) neural encoding models and dissimilarity analyses to compare human representational geometry to that of different models.
The project offers hands-on experience at the intersection of cognitive neuroscience, AI, and NeuroAI, combining human experiments, neuroimaging analysis, and modern deep learning methods to study how artificial and biological systems represent visual knowledge.
By grounding representational alignment in empirical human data, ALIGN directly advances the AI Sentience Scholars Program’s broader mission to develop rigorous, interdisciplinary tools for evaluating increasingly human-like properties in AI systems - particularly with regard to the structure of implicit conceptual representations.

Mentor

Name
Title
Afiliation
 Michael J Tarr 

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Carnegie Mellon University, USA



About the Scholar

I am a PhD candidate at Harvard working mostly in Computational Neuroscience. Before that, I received my BSc in Electrical Engineering from the UPC-BarcelonaTech in 2022. My research specifically centers on understanding minds and reasoning in biological and artificial systems, with an emphasis on mechanistic, autonomous and causal understanding. I combine electrophysiology with computational methods to probe brain circuit mechanisms. Recently, I’ve been thinking on how to extend or adapt these autonomous interpretability-driven approaches to large language and vision models to support safer and more reliable AI systems.


Links

Link LinkedIn: arnau-marin-llobet
Link GitHub:  https://linktr.ee/alirezakr