Natalia Villanueva Rosales
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Associate Professor, Computer Science
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Dr. Villanueva’s work advances the discovery, integration, and trustworthiness of data and models, including AI models.She specializes in developing and applying data science and AI methods, including knowledge representation and reasoning, and predictive modeling, to create community-driven and user-driven solutions for complex interdisciplinary and societal-relevant challenges such as water sustainability and the generational digital divide.Collaboration is the driving force behind her academic activities, impacting both her research and teaching, and extending to community engagement.