Uri David Akavia

Assistant Professor
Department of Biochemistry

Using computers to understand the biology of cancer

McIntyre Medical Sciences Building
3655 promenade Sir-William-Osler
Office: Room 805B; Lab: 805
Montreal, Quebec H3G 1Y6
Tel: 514-398-8526; Lab: TBA
Email: uri.david.akavia [at] mcgill.ca

2009 – PhD,  Tel-Aviv University, Sackler School of Medicine

Research Interests

My lab devises and applies algorithms in computational biology to cancer, combining them with experimental approaches to systematically identify viable drug targets in the context of cancer therapeutics. The combination of these approaches will provide a fundamental understanding of oncogenesis, while focusing on clinically relevant questions. Our goal is to reduce the genome-wide datasets available for cancer models and patients to a small series of experimentally testable questions.

We are especially interested in:

  • Identifying new genes contributing to cancer progression and clinical phenotype, including their targets
  • Building the network of relationships between drivers, and between drivers and the biological pathways they control
  • Applying computational approaches to personalized medicine, and
  • Translating results from bench to bedside, to have as much clinical impact as possible

I am currently working on Breast Cancer and Brain Tumor (Glioblastoma).

Publications (complete list) - Uri David Akavia