I am currently an Applied Scientist at TR (Thomson Reuters) Labs.

Before joining TR Labs, I was a Postdoctoral Researcher at HES-SO Valais-Wallis, where I worked on multi-agent systems. I completed my PhD at the Idiap Research Institute and the École Polytechnique Fédérale de Lausanne (EPFL), where I focused on deep learning architectures for natural language processing, particularly at the intersection of text and graph representation learning. I also gained experience as an Applied Scientist Intern at Amazon AGI, where I contributed to retrieval-augmented generation systems and contextual reward modelling.

I bring applied research experience and hands-on exposure to real-world challenges, having worked closely with researchers, engineers, and practitioners across multiple projects and institutions. I value open, respectful, and collaborative work environments, and believe that progress in science and technology is best achieved through kindness, curiosity, and shared effort.