I am a Research Assistant at the Idiap Research Institute and a Ph.D. Candidate at the École Polytechnique Fédérale de Lausanne (EPFL), specialising in Deep Learning (DL) at the intersection of Natural Language Processing (NLP) and Knowledge Graphs (KG). My research focuses on advancing Knowledge Representation and Language Understanding by developing models that integrate unstructured text and structured relational data to improve Retrieval Augmented Generation (RAG) systems. This work builds on my background in Information Retrieval, Big Data Analysis, and Data Science.

I bring applied research experience, rigorous experimental methodology, and hands on exposure to real world challenges through industry internships, along with a track record of translating theoretical advances into practical, high performing systems. I value collaboration and have worked closely with researchers, engineers, and practitioners across multiple projects and institutions, believing that openness, respect, and kindness are essential for successful teamwork and innovation.