Logan de Ley

Data Quality Analyst at Carnegie Learning

Logan De Ley is a Data Quality Analyst at Carnegie Learning since August 2021, responsible for ensuring the timely and accurate flow of data to the Research team. Previously, Logan served as a Senior Cognitive Scientist and Senior Product Manager at Scientific Learning, focusing on educational content development and outcomes research aimed at enhancing software offerings. Logan also held roles as a Clinical/Research Intern at the Center for Aphasia and Related Disorders and as a Research Assistant at Scientific Learning. Earlier experience includes working as a Web Developer at San Francisco State University. Logan holds an MA in Experimental Psychology from the University of California, Davis, an MS in Communicative Disorders from San Francisco State University, and a BA in Art from the University of California, Santa Cruz.

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Carnegie Learning

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Carnegie Learning is a publisher of innovative, research-based math curricula for middle school, high school, and post-secondary students. Providing differentiated instruction to schools across the United States, Carnegie Learning is helping students to succeed in math, creating a gateway to graduation and preparing them for the 21st century.


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