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Matthew McEneaney is a researcher at Duke University, specializing in quark gluon dynamics and proton hadronization. His work often employs machine learning techniques for event tagging and kinematic reconstruction in high-energy physics experiments. Matthew's recent projects include contributions to the broader understanding of transverse spin physics and analyzing flavor physics within the Belle II experiment. He actively engages with emerging technologies to enhance data analysis capabilities in particle physics. Matthew aims to provide insight into complex phenomena such as azimuthal asymmetries and the Collins effect, utilizing advanced research methodologies. His background and skills make him a valuable member of the Duke physics community, contributing to both educational and research initiatives.
Duke University • Durham, NC
Engaged in quark-gluon physics and analysis for the Belle II experiment.
Department of Biomedical Engineering (MS program)