معرفی
Ashirbani Saha is an Assistant Professor in the Department of Oncology at McMaster University, holding the inaugural BRIGHT Run Breast Cancer Learning Health System Chair. She is affiliated with the Michael G. DeGroote School of Medicine and the Escarpment Cancer Research Institute. Her research focuses on applying artificial intelligence (AI) and advanced data analytics to improve breast cancer diagnostics and patient care. She also holds associate memberships in the School of Biomedical Engineering and the Department of Computing and Software at McMaster University.
Dr. Saha’s education includes a B.E. in Electronics from IIEST Shibpur (India), an M.A.Sc. and Ph.D. in Electrical and Computer Engineering from the University of Windsor, followed by postdoctoral training at Duke University and St. Michael’s Hospital. Her work spans medical imaging analysis, radiogenomics, and healthcare data science, with an emphasis on breast cancer and neurosurgery applications.
Her research trends highlight AI-driven solutions for medical imaging challenges, such as tumor segmentation, radiomics analysis, and cross-dataset generalization. She has also explored work-life balance issues in healthcare professionals and ethical considerations in AI-driven healthcare research. The BRIGHT Run Chair supports her interdisciplinary initiatives to integrate AI and clinical data into a learning health system for breast cancer.
- Awards: BRIGHT Run Breast Cancer Learning Health System Chair (2021)
- Grants: $3.2M New Frontiers in Research Fund (2021) and community-endowed BRIGHT Run funding.
- Labs/Teams: Escarpment Cancer Research Institute, CentRE for dAta science and digiTal hEalth (CREATE).
