Marcel Torne Villasevil

 

I am a PhD student at Stanford University. My dream is to design the next generation of learning-based assistive robots. I plan to get there by studying methods for in-context adaptation of policies to unseen scenarios while emphasizing human-centric approaches.

Previously, I obtained my Master's degree at Harvard University supported by the Real Colegio Complutense scholarship. And I was part of the Improbable AI Lab at MIT CSAIL under the supervision of Professors Pulkit Agrawal and Abhishek Gupta. Even before that, I received my Bachelor's degree from École Polytechnique Fédérale de Lausanne (EPFL), where I was lucky enough to do my bachelor's project at MLO and iGH under the supervision of Professors Martin Jaggi and Mary-Anne Hartley. There I started an open source platform, DisCO, for training ML models in a federated and decentralized fashion. I showed its usefulness training Computer Vision models for Healthcare.

In industry, I have interned at Physical Intelligence where I worked on adding memory to VLAs. Before that, I interned at Microsoft Bing and Amazon Search working on their ranking algorithms.

I spend my free time running, sailing, and biking; playing the baroque guitar; or reading books.

News


  • Jul 2026 Presenting our work at the Y Combinator Paper Club (Jul 29). Link coming soon.
  • Jul 2026 Speaker at the ExWBC Workshop at RSS 2026 (Sydney, Jul 13). Link coming soon.
  • 2025–26 Interned at Physical Intelligence (Jun 2025 – Mar 2026), where I worked on adding memory to VLAs.
  • Oct 2025 Invited talk on Real-to-Sim-to-Real visuomotor robot learning at an IROS 2025 workshop. Video
  • Jun 2025 Best Paper Award at the Robot Representations Workshop, RSS 2025, for Learning Long-Context Diffusion Policies.
  • Sep 2024 Started my PhD at Stanford University, advised by Prof. Chelsea Finn.