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Isaiah Hull received his PhD in Economics from Boston College in 2013 and has since worked in the Research Division at Sweden’s Central Bank. He has published numerous articles in academic journals primarily concentrated in computational economics with applications in macroeconomics, finance, and housing. Most of his recent work makes use of techniques from machine learning. He also regularly presents at conferences on machine learning and big data in economics. And Isaiah is an accomplished teacher with experience teaching TensorFlow 2.0. Currently, he’s working on a project to introduce quantum computing to economists.
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