Samuel López focuses on techniques employing natural-language processing and large-language models to extract financial information from unstructured data and present factor-model reports through natural-language interfaces. His past work experience spans energy and automotive companies, with publications focused on optimization and machine learning. Samuel holds an M.S. in computer science from IIMAS-UNAM and a B.S. in mechatronics engineering from UNAM.