Rate My Professor Gavin Harris

Gavin Harris serves as Clinical Senior Lecturer in the Department of Pathology and Biomedical Science at the University of Otago, Christchurch. He is an Anatomical Pathologist at Canterbury Health Laboratories. His research specializes in applying deep learning and artificial intelligence to pathology image analysis, with a focus on breast cancer diagnostics. Harris collaborates on projects developing algorithms for segmenting chromogenic dye RNAscope from whole slide images, facilitating precise quantification of gene expression in breast tissue samples. These advancements aim to enhance diagnostic accuracy and support clinical decision-making in oncology.

Harris has co-authored key publications such as 'Deep Learning Segmentation of Chromogenic Dye RNAscope From Whole Slide Images' in the Journal of Imaging Informatics in Medicine (2024), 'Grey Level Texture Features for Segmentation of Chromogenic Dye RNAscope From Whole Slide Images' (arXiv, 2024), 'A Predictor of Early Disease Recurrence in Patients With Breast Cancer Using a Cell-free RNA and Protein Biomarker Panel' in Clinical Breast Cancer (2020), 'Multimodal assessment of estrogen receptor mRNA profiles to predict recurrence in postmenopausal invasive breast cancer' in Clinical Breast Cancer (2017), and 'Adrenomedullin interacts with VEGF in endometrial cancer and has prognostic significance' in Gynecologic Oncology (2012). He received the Dean's Teaching Award at the University of Otago Academic Inauguration (2015). In 2024, Harris was awarded the HealthTech Award for the Best Translational Research Project for his digital pathology initiatives. His work has attracted funding from the Health Research Council for computer-assisted diagnosis in pathology (2021) and contributes to special interest groups in oncology, including as a contact for the New Zealand Society for Oncology.