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Noah Amsel is a Research Engineer on the GradientGraph team. His work focuses on developing novel algorithms and theoretical models for understanding and manipulating traffic in large networks in order to optimize their performance.
Noah joined Reservoir Labs after receiving his B.S. in Computer Science and Mathematics from Yale in 2020. As a student, he took special interest in fast algorithms and computational linguistics. With the Computational Linguistics at Yale (CLAY) Lab, he studied inductive bias and interpretability in neural network models of natural language. He was also part of a collaboration between Yale and the Weizmann Institute to develop new methods for fast phylogenetic inference, contributing to both theoretical and applied aspects of the work.
Noah enjoys the days when his LaTex compiles on the first try.
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