As the Head of Data for BlueSkeye AI I am responsible for the machine learning datasets that we collect and annotate. These datasets are then used to train our B-Social AI models. Additionally, I am part of the R&D team at BlueSkeye AI where I use my knowledge of machine learning and computer vision to help improve our technologies for improved mental health and well-being.
In 2021 I passed my Viva Voce for my Computer Science PhD which specialised in “Deep Learning Using Tiny Domain-Specific Datasets with Sparse Labels”, under the supervision of Prof. Michel Valstar. My research focused around semantic segmentation and action recognition with small clinical datasets.