Robert started his journey at the University of Liverpool in 2015, when he joined under the Scholarship Programme for students who are in Year 12. He then began his Undergraduate Degree for a Physics (BSc) in 2017 at the University of Liverpool, but later switched courses to Physics (MPhys) in 2018. His Masters project involved comparing methods of machine learning across a classical and quantum computer and determining if there is any benefits or advantage to using a quantum computer to perform machine learning tasks for High Energy Physics.
In 2020, just before the pandemic hit, he suspended his studies due to ill health, and returned the following academic year to complete his studies. After his masters project, he decided to go into the field of Data Science, which brought me to joining the CDT for a PhD.
Robert is currently working with the ATLAS team here at the University of Liverpool for the 1st and 4th years of his PhD, and he will spend his 2nd and 3rd years at AIMES. With ATLAS, he will be commissioning and improving Machine Learning algorithms used for efficient identification of objects relevant for the analysis, including tau-lepton and heavy-flavour jets. Whilst at AIMES, he will be working alongside experts at AIMES to evaluate the performance of convolutional neural networks to magnetic resonance (MR) images data.