Natalia Villanueva Rosales aims to to improve the efficiency and effectiveness of the discovery, integration, and trust of scientific data and models. Her approaches link human and machine knowledge to address societally-relevant problems in areas that require interdisciplinary research and international collaborations such as sustainability of water resources and Smart Cities. She is passionate about encouraging and supporting women and Hispanics pursuing a career or education in Science and Engineering.
In 2011, she obtained a Ph.D. in Computer Science from Carleton University (Canada) with the thesis “Formalizing Relational Databases as OWL Ontologies”. She also holds an M.Sc. in Artificial Intelligence from the University of Edinburgh (UK) with the thesis “Learning Heuristic Const Functions for Planning using Genetic Programming”. She has a Bachelors’s degree in Computer Science from the “Universidad Panamericana Campus Aguascalientes” and a double-major in Statistics from the Center for Mathematics Research (Mexico).