Engineered and fine-tuned Convolutional Neural Networks (CNNs) with custom architectures, optimised for identifying and classifying distinct animal behaviours accurately.

Developed a Python-based application which analyses video and decodes animal behaviour automatically, thus reducing the need for human intervention.

Produced practical technological solutions for Sahlgrenska University Hospital’s neuroscience laboratory, enhancing capability for data collection and facilitating novel insights into neurological conditions.