My research applies artificial intelligence to dentistry, with the aim of measuring the structures of the mouth accurately and consistently, and to do so with software reliable enough for use in practice.

In my current role, I develop software that measures dental structures automatically from three-dimensional scans, identifying individual teeth, reconstructing their surfaces, and recording precise dimensions in a fraction of the time manual measurement requires, while approaching the accuracy of an experienced clinician. This work centres on building specialised systems for 3D dental scan analysis: tailoring segmentation, landmark detection, and geometric measurement to the demands of clinical anatomy, where structures sit closely together and tolerances are exacting. A particular focus is the condition in which a person is born with one or more teeth missing, and the effect this has on the development and form of the structures around them. This research contributes to an international collaboration spanning several countries, which seeks a common understanding of how the face and mouth develop.

In the longer term, I intend to extend this methodology across a broader range of craniofacial applications, developing software that carries current research techniques into routine diagnostic and treatment-planning practice.