Daniel Noel

Daniel Noel is a quantitative researcher at Squarepoint Capital, with experience in high-energy physics and machine learning acquired during a PhD at the University of Cambridge from 2018 to 2022. Previous roles include a PhD student at CERN, where Daniel conducted analyses for the search of new physics at the Large Hadron Collider using Python, and an internship focused on modeling quark-gluon plasma. Daniel has also served as an undergraduate supervisor at the University of Cambridge, delivering tutorials and assessing student performance, and engaged in placements at the University of Göttingen and the University of Reading, contributing to research on Higgs boson production stability and the analysis of amateur wind sensors, respectively. Daniel holds a BA and MSci in Physics from the University of Cambridge, as well as A levels from Reading School.