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 to determine if there are any benefits or advantages 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 master’s project, he decided to go into the field of Data Science, which brought him to joining LIV.INNO for a PhD.
For his 1st and 4th years, Robert’s work is with the ATLAS team here at the University of Liverpool, and he will spend his 2nd and 3rd years at ARO (formerly 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 ARO, he will be working alongside industry experts whilst undertaking Data Science projects with the Institute of Life Course and Medical Sciences at the University of Liverpool. These projects involve the validation of machine learning algorithms used for the prediction of both Age-related Macular Degeneration (AMD) and Diabetic Retinopathy.