Hamed Shourabizadeh is a PhD candidate in the Department of Mechanical & Industrial Engineering at the University of Toronto. He received his MSc in Industrial Engineering from Sharif University of Technology (2015) and BSc in Industrial Engineering from Iran University of Science and Technology (2013). Prior to his PhD, Hamed worked as a researcher for the The Scientific and Technological Research Council of Turkey (TÜBİTAK) where he optimized hospital inventory systems. Hamed’s research is focused on the application of ML/AI and operations research to healthcare systems. His PhD project is on the application of ML to predict the survival of bone marrow transplant patients. The research is in collaboration with Princess Margaret Cancer Centre in Toronto.

  • Machine learning
  • Artificial intelligence
  • Survival analysis
  • ML/AI and optimization in healthcare
  • BSc in Industrial Engineering, 2013

    Iran University of Science and Technology

  • MSc in Industrial Engineering, 2015

    Sharif University of Technology