Jackson Young is a dedicated data scientist and machine learning engineer based in Kansas, currently serving as a Senior Data Scientist at Security Benefit. With a background in research from The University of Kansas and experience at prestigious institutions such as CERN and the Paul Scherrer Institut, Jackson has developed expertise in financial optimization, machine learning model development, and statistical analysis. Prior to their current role, Jackson worked as a Data Scientist at Spring Venture Group, where they focused on optimization and analytics software development. They hold a Bachelor of Science degree in Physics and Mathematics from The University of Kansas, which they completed in 2017.
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