Stanford University
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Lorenzo Pazienza
Undergraduate, Continuing Studies and Summer Session
BioUndergraduate student in Management and Artificial Intelligence at LUISS Guido Carli University, currently attending Stanford Summer Session.
Enrolled in Machine Learning, Exploring Artificial Intelligence, and High Performance Computing, with a strong interest in the intersection between data-driven decision making and scalable AI systems.
Experienced in building end-to-end machine learning pipelines, including feature engineering, model selection, and performance evaluation, with a focus on interpretability and generalization.
Particularly interested in the deployment of machine learning models in real-world environments and the computational infrastructures that support them. -
Roy Pea
Director, H-STAR, David Jacks Professor of Education and Professor, by courtesy, of Computer Science
Current Research and Scholarly Interestslearning sciences focus on advancing theories, research, tools and social practices of technology-enhanced learning of complex domains
