Rate My Professor Dominique French

Dr. French's research output includes significant contributions to computational pathology and spatial biology. In 2024, she co-authored the article 'True-T - improving T-cell response quantification with holistic artificial intelligence based prediction in immunohistochemistry images,' published in Computational and Structural Biotechnology Journal, volume 23, pages 174-185. The paper, led by Y. Makhlouf and including co-authors V. K. Singh, S. Craig, A. McArdle, M. B. Loughrey, N. Oliver, J. B. Acevedo, P. O'Reilly, J. A. James, P. Maxwell, and M. Salto-Tellez, addresses T-cell response quantification using AI in immunohistochemistry images. It has garnered 7 citations on Scopus and 61 downloads on the Queen's University Belfast Pure portal, and is available open access. Additionally, in 2022, she contributed to the peer-reviewed poster 'Maximising development of high quality, high throughput, multiplex immunofluorescence assays for in situ biomarker quantification and spatial biology analysis in large population based studies,' co-authored with A. McArdle, P. B. Loughrey, S. Craig, F. Corr, K. McCombe, M. Salto-Tellez, P. Maxwell, and J. James. Dr. French has also served as a supervisor for student theses, including that of A. McArdle on multiplex immunofluorescence assays. Her work supports high-throughput techniques for cancer research and population-based studies at the PMC.