Radzim Sendyka

Biography

Radzim is a Machine Learning Engineer at the Accelerate Programme and a PhD student in the ML@CL research group. He explores the practical applications of data science and machine learning in real-world contexts, with emphasis on collaboration with domain experts from various scientific fields, including assyriology and intensive care medicine. His research focus is investigating how machine learning systems can be analysed as graphs of interacting components, and how attribution and sensitivity analysis methods can be adapted to quantitatively explain components’ contributions to system behaviour.