About
Joseph is a doctoral student with the University of Southampton and the Alan Turing Institute. He completed an undergraduate degree in computer science at the University of Southampton, and then specialised with a master’s degree focused on machine learning (also at the University of Southampton). Joseph pursed his interest in machine learning and is now researching explainable artificial intelligence – the process of unpacking the “black box” of machine learning and understanding why models exhibit certain behaviours.
Joseph is motivated by the possibility for collaboration within the Turing, with a strong interest in helping others apply and understand machine learning in their domains. He believes a drive towards openness, transparency and explainability in artificial intelligence will allow the recent advances in machine learning to spread and contribute to other areas such as medicine and urban analytics.
Joseph also has experience working in the start-up industry. Using his specialist machine learning knowledge, he contributed to a start-up within the University of Southampton during his master’s degree. He is excited to see how the field of artificial intelligence will progress in the future and is looking forward to working alongside other researchers from a diverse range of fields.