Stanford University
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Lorenzo Pazienza
Undergraduate, Continuing Studies and Summer Session
BioUndergraduate student in Management and Artificial Intelligence, attending Stanford Summer Session (Machine Learning, Exploring AI).
Focused on machine learning and statistical modeling, with experience in predictive modeling, feature engineering, and end-to-end data pipelines, with attention to generalization and bias-aware modeling.
Interested in machine learning systems and data-driven approaches to real-world problems. -
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
