Clinically grounded computational science
The Knowlton Lab develops interpretable analytics, evaluation workflows, and decision support methods for breast imaging, reproductive biology, and biomedical discovery in real clinical settings.
Research programmes
Method development connected to translational use cases, not benchmark theatre.
Explore allSupervision
PhD and Masters training across imaging, machine learning, and biomedical data science.
Explore allTeaching
Practical statistics and data science courses with direct links to hosted materials.
Explore allSelected work
Evaluates tomosynthesis, ultrasound, and MRI in a risk-stratified breast screening workflow for women with dense breasts and elevated risk.
Describes a machine learning pipeline for identifying 17 morphokinetic stages in pre-implantation embryo development from time-lapse imagery.
National cohort analysis of HER2-positive, HER2-low, and HER2-zero invasive breast cancers in Aotearoa New Zealand.
Profiles and contact
The site now brings research themes, publications, teaching resources, and supervision into one cohesive experience while keeping external profile links easy to reach.