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Machine learning applications to fundamental physics; physics beyond the Standard Model; dark matter; collider phenomenology; astroparticle physics<\/em><\/p>\n My research aims to answer longstanding questions which remain unanswered by the Standard Model. Questions such as what is the nature of dark matter? Why is gravity the weakest force? Why are there three generations of quarks and leptons?<\/p>\n In my work, I have approached these questions from a variety of angles, including model building and phenomenology. More recently, I have become interested in the power of modern machine learning to greatly enhance the search for new physics.<\/p>\n Below you will find my recent papers on machine learning for HEP and astronomy, organized into various topics.<\/p>\n","protected":false},"excerpt":{"rendered":"