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Ella Cole is a PhD student at the Department of Applied Mathematics and Theoretical Physics (DAMTP) at the University of Cambridge, specializing in High Energy Physics. Her research is centered on the application of machine learning techniques, particularly neural networks, to study Parton Distribution Functions (PDFs). Ella has an integrated Master’s degree in Physics from Durham University, where her final year focused on developing an algorithm called 'Cell Resampling', aimed at improving the efficiency of Monte Carlo event generation by removing negative weights. She has gained significant research experience through an internship at DESY Zeuthen, where she worked with the experimental ATLAS group to produce algorithms that optimize bin widths for migration matrix process unfolding. In October 2024, she began her PhD with a focus on the study of PDFs, which are essential for calculations in high-energy proton colliders and are crucial for producing high accuracy measurements in particle physics. Her research aims to improve methods for extracting Beyond Standard Model physics PDFs using Effective Field Theory.
Department of Applied Mathematics and Theoretical Physics, University of Cambridge • Cambridge, United Kingdom
PhD research focusing on the study of Parton Distribution Functions (PDFs) using neural networks.
Standard postgraduate requirements for Department of Politics and International Studies (POLIS) and related humanities departments.