Joel Catapano

Joel Carlson is a passionate individual interested in deep learning, natural language processing (NLP), and working with data at scale. With a strong focus on open source software, socially responsible predictive modeling, and reproducible methods, Joel is dedicated to advancing these fields. As an author of two R Packages and a proponent of using Scala and Python, he also has experience in Java. Joel holds a Master of Science in Medical Physics from Seoul National University, a Bachelor of Science in Physics from The University of Calgary, and has completed a Data Science Fellowship at Galvanize Inc. Joel has previously worked as an Applied Machine Learning Scientist I at Amazon, as a Data Scientist at Clarivate Analytics, and as a Data Scientist at Thomson Reuters.