About Me

I am a researcher and engineer dedicated to the intersection of Explainable AI (XAI), Natural Language Processing (NLP), and Human-Computer Interaction (HCI). I earned my PhD from Inria Rennes, where my research focused on the design and evaluation of explanation techniques to enhance user comprehension and confidence in complex machine learning models. My doctoral work specifically explored how the representation and technique of explanations affect human trust and decision-making in high-stakes environments.

In my current role as an R&D Scientist at Top Doctors in Barcelona, I lead the integration of Large Language Models (LLMs) into clinical workflows. My work involves developing robust systems for clinical data structured extraction, automated diagnostic assistance, and patient-facing AI tools that prioritize transparency and reliability. I bridge the gap between cutting-edge research and production-ready healthcare applications, ensuring that AI solutions are both technically sound and ethically grounded.

Beyond technical implementation, I am deeply interested in how humans perceive and interact with AI. I strive to build systems that don't just provide answers, but offer meaningful insights, ensuring that AI remains a supportive and understandable tool for both professionals and the general public. Whether it's through multi-modal interfaces or innovative explanation frameworks, my goal is to create AI that empowers users rather than obscures the truth.