Carnegie Learning
Ethan Shafran Moltz is a Software Engineer in Research at Carnegie Learning, where responsibilities include researching and documenting best practices for AI models in education while collaborating with a cross-functional team to enhance math instruction for K-12 learners. Previously served as an AI Software Engineer Intern, focusing on similar research and developing customer tutorials. Experience also includes teaching roles at The New York Public Library and New York University, where Ethan taught app development and served as a Head Teaching Assistant, respectively. In addition, Ethan worked as an Elementary School Assistant Teacher and held various positions at Writopia Lab, including Media Manager. Ethan holds a Master's degree in Computer Science and a Bachelor's degree in Metaphysics from New York University and Sarah Lawrence College, respectively.
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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.