About

I am currently a research intern in robot learning at UCSD under the supervision of Hao Su. Previously, I received an MS degree in Robotics from ETH Zurich, where I was advised by Roland Siegwart. Before that, I obtained my BS degree in Telecommunications Engineering from UPC.

Alongside my studies, I spent two years at AMZ Racing, where I worked on the autonomy stack of a fully custom self-driving car. I also interned for a semester at Motional, focusing on high-level motion planning for autonomous driving.

I am fascinated by the field of robot learning, with a particular focus on developing agents that are both robust and explainable in their decision-making processes. My interest lies in enabling these agents to learn to reason rather than simply react, for instance, using world models for data-driven planning. Additionally, I focus on developing simple methods that can efficiently learn from diverse data sources. My overarching research goal is to contribute to the development of general-purpose robots capable of seamlessly performing complex, long-horizon tasks in everyday life.

News

• [Jan 2025] Joining the Boston Dynamics AI Institute as a research intern.
• [Dec 2024] Applying to PhD positions in Robot Learning.
• [June 2024] Starting a 6-month research internship at Hao Su’s lab at UC San Diego.
• [May 2024] Got awarded the La Caixa Foundation Postgraduate Fellowship for PhD studies at any institution.
• [April 2024] Successfully defended my MSc thesis at ETH Zürich with a full grade.
• [April 2024] Completed MSc degree in Robotics, Systems & Control at ETH Zürich.
• [Sep 2023] Joined Fisher Yu’s lab at ETH Zürich to work on Hierarchical World Models in the Visual Intelligence Group.
• [April 2023] Returned to ETH Zürich to complete MSc coursework and Thesis.
• [Sep 2022] Joining Motional as a motion planning intern.
• [Sep 2021] Starting my MSc in Robotics, Systems, and Control at ETH Zürich.
• [July 2021] Successfully defended my BSc thesis at UPC with a full grade and honors.

Experience

• Research Intern
  UCSD, Hao Su’s Lab (June 2024 – Dec 2024)
  Developed a model-based RL framework for long-horizon tasks with sparse rewards; work will be submitted to ICML 2025.

• Motion Planning Intern
  Motional (Sep 2022 – April 2023)
  Prototyped and benchmarked high-level planning pipelines, focusing on convex corridor generation for autonomous vehicles.

• Formula Student Driverless Team Member
  AMZ Driverless (Sep 2020 – Sep 2021)
  Designed Kalman filters for high-speed velocity estimation; won 1st place at the Daimler AI Award and 3rd place overall at Formula Student Germany.

Achievements & Awards

• La Caixa Foundation Postgraduate Fellowship (2024)
  Fully funded PhD scholarship awarded to 100 candidates annually in Spain and Portugal. Program page.

• Graduated with Distinction
  MSc in Robotics, Systems & Control at ETH Zürich.

• Formula Student Germany (2021)
  3rd place overall in Driverless category with AMZ Driverless at Formula Student Germany.

• Daimler AI Award (2021)
  Recognized for the most innovative AI solutions in autonomous driving by Daimler AI.

• Maximum Grade & Honors
  Bachelor’s Thesis at Universitat Politècnica de Catalunya (2021).

• Mathematics Olympiad Champion
  1st place at XXIV National Mathematics Olympiad of Spain and Andorra. FESPM’s official page.