Associate Professor, Industrial Engineering
Applied Machine Learning
Medical applications of operations research; radiotherapy treatment optimization, pandemic planning; data mining to improve bone marrow transplant outcomes; global optimization; heuristic design; parallel computing.
Dionne Aleman is an Associate Professor in the Department of Mechanical & Industrial Engineering at the University of Toronto. She received her PhD in Industrial and Systems Engineering from the University of Florida (2007), MSc from the University of Florida (2006), and BSc from the University of Florida (2003).
Dr. Aleman’s research interests are in the application of operations research to medical and healthcare systems. This research includes using mathematical optimization models to design radiation therapy treatment plans, using agent-based simulation to predict the spread of a pandemic disease in an urban population, using graph theory to determine vaccination priorities during a pandemic, and using optimization and simulation to improve hospital surgical scheduling. Dr. Aleman has held grants from NSERC, CFI, ORF, and NSF for her research. Within the Canadian Operational Research Society (CORS), she is the Vice President/President-Elect and a past Secretary of CORS Council, and the Secretary of the Health Care Operations Research Special Interest Group. Within the Institute for Operations Research and Management Science (INFORMS), she is the President of the Public Sector OR Section, and she is a past Chair of the Health Applications Society (HAS) and past President of the Junior Faculty Interest Group (JFIG). Dr. Aleman is also a Topical Editor for the Wiley Encyclopedia of Operations Research and Management Science, Associate Editor for IIE Transactions on Healthcare Systems Engineering, Associate Editor for the International Journal of Biomedical Data Mining, and Editorial Board Member of Operations Research in Health Care.