Hi, I’m Nathan! I’m a PhD student at MIT Brain and Cognitive Sciences, working in computational neuroscience and AI.

Before starting my PhD, I completed a master’s in Mathematical Engineering and Physics at UCLouvain in Belgium. I worked as a research assistant in Robert Yang’s lab at MIT, developing scalable methods to evaluate Recurrent Neural Network models. I also had the opportunity to work in Omri Barak’s lab at the Technion, studying generalization in computational models of neural dynamics.

Publications

• Differentiable optimization of similarity scores between models and brains.
  Nathan Cloos, Moufan Li, Markus Siegel, Scott L. Brincat, Earl K. Miller, Guangyu Robert Yang, Christopher J. Cueva.
  ICLR 2025 [pdf] [code] [website]
• Generating and Validating Agent and Environment Code for Simulating Realistic Personality Profiles with Large Language Models.
  Nathan Cloos, M Ganesh Kumar, Adam Manoogian, Christopher J. Cueva^†, Shawn A. Rhoads^†.
  NeurIPS 2024 Workshop on Behavioral ML. [pdf]
• A Framework for Standardizing Similarity Measures in a Rapidly Evolving Field.
  Nathan Cloos, Guangyu Robert Yang, Christopher J. Cueva.
  NeurIPS 2024 Workshop UniReps. [pdf] [code]
• Baba Is AI: Break the Rules to Beat the Benchmark.
  Nathan Cloos, Meagan Jens, Michelangelo Naim, Yen‑Ling Kuo, Ignacio Cases, Andrei Barbu^†, Christopher J. Cueva^†.
  ICML 2024 Workshop on LLMs and Cognition. [pdf] [code]
• Scaling up the Evaluation of Recurrent Neural Network Models for Cognitive Neuroscience.
  Nathan Cloos, Moufan Li, Guangyu Robert Yang, Christopher J. Cueva.
  Cognitive Computational Neuroscience 2022. [pdf]

^† Equal senior authors