Dr Abbey Waldron is a Lecturer in Particle Physics at Queen Mary University of London, affiliated with the School of Physical and Chemical Sciences and the Centre for Fundamental Physics. Her research focuses on neutrino oscillations, matter-antimatter asymmetry, and neutrino-nucleus interactions, with a strong emphasis on experimental techniques and machine learning applications in detector systems. She contributes to major international experiments such as DUNE and ProtoDUNE, advancing liquid argon time projection chamber (LArTPC) technologies. Her work includes cross-section measurements, detector performance optimization, and high-energy physics collaborations. Education: PhD in Physics (focus on neutrino physics). Her research interests span experimental neutrino physics, including neutrino oscillations, scattering cross-section measurements, and detector development. She explores how machine learning enhances neutrino detection precision and addresses fundamental questions like the origin of matter-antimatter imbalance in the universe. Her recent publications analyze neutrino interactions in diverse materials (e.g., argon, hydrocarbon), detector performance in high-pressure environments, and algorithmic improvements for event reconstruction. She leads efforts in DUNE’s far detector technology and contributes to international collaborations like T2K and NOvA. Grants: £12,000 Royal Society grant (2024–2026) for machine learning in neutrino interactions. £291,349 STFC grant (2023–2025) supporting experimental PPRC exploitation at QMUL. She collaborates with global teams on detector development and neutrino physics, contributing to cutting-edge projects like the DUNE experiment’s vertical drift technology and ProtoDUNE’s pixelated LArTPC simulations.
