Currently, my work focuses on using computer vision and machine learning algorithms
to narrow the diagnostic search space for patients with suspected rare genetic disorders.
In particular, My work utilises deep convolutional neural networks,
implemented using Python, MATLAB and SQL, to automate the retrieval of training data.
Machine learning involves using algorithms which improve their
performance by leveraging task specific data to uncover discriminative
combinations of features, often more effectively than manual feature
engineering alone. Other research interests of mine include using computer
vision in the fields of facial inheritance and facial phenotype classification.