Archie graduated with an integrated master’s degree in physics from the University of Birmingham in July 2024. His Master’s project was focussed on Physics and detector R&D for a future electron positron collider. In this project, the GEANT-4 framework was used to simulate the EPICAL-2 prototype DECAL to investigate its effectiveness at high energy. Adaptations where then investigated to see how the effects of pixel saturation can be reduced.
Archie then continued his passion for research when he joined the University of Liverpool and the LIV.INNO group in October 2024. His research will be based on developing machine learning for technology computer aided design (TCAD) simulations. These methods will reduce computational cost, allowing fast and accurate simulations to be run. These simulation methos will then be used to develop a CMOS sensor which can be used at future physics experiments.