Arnau Marin-Llobet

Arnau Marin-Llobet

PhD student @ Harvard

Arnau Marin-Llobet

My PhD is generously supported by the Fundación Rafael del Pino, the RCC-Harvard Graduate Fellowship, and NSF-NeuroPAC, among others.

I am a PhD candidate in Computational Neuroscience at Harvard University. Before that, I received my B.Sc. in Electrical Engineering from the UPC-BarcelonaTech in 2022.

My research centers on understanding minds and reasoning in biological and artificial systems, with an emphasis on mechanistic, autonomous and causal understanding. I combine brain–computer interfaces 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 language models to support safer and more reliable AI systems.

Selected News

  • Dec 8, 2025
    Our commentary on the state of the art in wireless BCIs was published in Nature Electronics. Excited to share some thoughts on where the field is heading.
  • Oct 2025
    Gave a short talk at the Kempner Seminar Lunch and Learn at Harvard, broadly presenting my work on agents for interpretability in brain networks. And had good free food!
  • Jun 2025
    Invited talk at the Rafael del Pino Foundation (C4T), Boston — "Agentic AI for Biology".
  • May 2025
    Invited talk at MIT, Cambridge — "AI Agents for Automated and Scalable Neuroscience".
  • Apr 2025
    Invited talks at Stanford University (Palo Alto), UC San Francisco, and the Flatiron Institute (Simons Foundation, New York/Remote) on AI agents for neuroscience and spike sorting. Thanks to the Enigma group at Stanford, Alessio Buccino at the Flatiron Institute, and Prof. Edward Chang at UCSF for the invitations and the exciting, engaging discussions.
  • Apr 11, 2025
    So happy to see our first paper published! Joint work with Mavi Sanchez-Vives, Leo Dalla Porta, and Arnau Manasanch, now out in Communications Biology. All code is available on GitHub.
  • Jul 2024
    Invited talk at ETH Zurich — "Methods to Stably Track Neurons in High-Density Probes".

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I'm always happy to chat about research, collaborations, or anything else — feel free to reach out by email.

(*) denotes equal contribution. I included most of my papers and preprints here, but for the full list I encourage you to check my Google Scholar. If you cannot access any of them, just email me and I will be happy to share.

  • A. Marin-Llobet et al. Wireless recording with ultrathin brain interfaces. Nature Electronics, 8:1144–1145, 2025. Paper Neuroscience
  • H. Shen*, S. Zhao*, A. Marin-Llobet* et al. Realigning representational drift in mouse visual cortex by flexible brain-machine interfaces. Under peer review. Preprint in bioRxiv, 2024. Preprint Neuroscience
  • A. Marin-Llobet*, A. Manasanch* et al. Neural models for detection and classification of brain states and transitions. Communications Biology, 8(1):599, 2025. PaperCode Neuroscience
  • A. Marin-Llobet, Z. Lin, J. Baek et al. An AI agent for cell-type specific interpretable brain-computer interfaces. Under peer review. Preprint in bioRxiv, 2025. Preprint NeuroscienceAI for Discovery
  • Z. Lin* and A. Marin-Llobet* et al. Spike sorting AI agent. Under peer review. Preprint in bioRxiv, 2025. PreprintCode NeuroscienceAI for Discovery
  • A. Marin-Llobet et al. Riemannian geometry for the classification of brain states with intracortical brain recordings. Advanced Intelligent Systems, e202500480, 2025. Paper Neuroscience
  • A. Aljovic, Z. Lin, W. Wang, X. Zhang, A. Marin-Llobet et al. An autonomous AI agent for universal behavior analysis. Under peer review. Preprint in bioRxiv, 2025. PreprintCode NeuroscienceAI for Discovery
  • H. Zhao, X. Zhang, A. Marin-Llobet, X. Lin, J. Liu. Benchmarking spike source localization algorithms in high density probes. Under peer review. Preprint in arXiv, 2025. Preprint Neuroscience
  • Y. He* and A. Marin-Llobet* et al. End-to-end multimodal deep learning for real-time decoding of monthslong neural activity from the same cells. Under peer review. Preprint in bioRxiv, 2024. Preprint Neuroscience
  • J. Lee, Z. Lin, W. Wang, J. Baek, A. J. Lee, A. Aljovic, A. Marin-Llobet et al. DeviceAgent: An autonomous multimodal AI agent for flexible bioelectronics. Under peer review. Preprint in bioRxiv, 2025. Preprint AI for Discovery
  • A. Marin-Llobet and J. Ferrando. Automated Interpretability and Feature Discovery in Language Models with Agents. Under peer review. DL & Interp.AI for Discovery
  • A. Marin-Llobet, A. Manasanch, and M. V. Sanchez-Vives. Hopfield-enhanced deep neural networks for artifact-resilient brain state decoding. NeurIPS Workshop on Associative Memory & Hopfield Networks, 2023. Paper DL & Interp.Neuroscience
  • Z. Lin*, W. Wang*, A. Marin-Llobet et al. Autonomous spatial transcriptomics AI agent charts sc-pancreas maturation in vivo. Under peer review. Preprint in bioRxiv, 2025. PreprintCode GenomicsAI for Discovery
  • A. Marin-Llobet et al. MECP2 and SH3KBP1 genes as pathogenic contributors to autism spectrum disorder and immunodeficiency. Under peer review. Genomics
  • X. Luo, J. Shi, A. Marin-Llobet et al. Electrical impedance myography method of measuring anisotropic tongue tissue. Physiological Measurement, 44(5):055007, 2023. Paper Genomics
  • A. Marin-Llobet et al. A pilot study on neonatal ultrasound patterns unraveling associations with obstetric factors. IEEE International Conference on Body Sensor Networks, 2023. Paper Genomics
  • W. Wang, ..., A. Marin-Llobet et al. Agentic Lab: An agentic-physical AI system for cell and organoid experimentation and manufacturing. Under peer review. Preprint in bioRxiv, 2025. Preprint GenomicsAI for Discovery
"A Harvard-developed breakthrough in AI 'seeing': AR glasses turn novices into experts"
36Kr (New Wisdom), Toutiao, 163.com — November 2025
Feature on our Human–AI Co-Embodied Intelligence work and Agentic Lab (with the lead of Wenbo Wang).
36Kr | Toutiao | 163.com
"Should neuroscientists 'vibe code'?"
The Transmitter — August 2025
Perspective on AI coding tools in neuroscience, featuring my work on SpikeAgent.
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