SURF Mentoring
Potential projects/topics: machine learning, data analysis and introduction to particle physics
Potential skills gained: machine learning, data analysis and introduction to particle physics
Required qualifications: none
Direct mentor: Faculty/P.I.
Research Areas
To explore fundamental questions in particle physics related to matter asymmetry and why Standard Model particles make up only about one-sixth of the total matter in the Universe. My current research focuses on incorporating machine learning (ML) methods to improve neutrino science, dark matter direct detection searches, and rare event searches, such as neutrinoless double beta decay and nucleon decay.
