Professor  |  Researcher

Dionne Aleman

Mechanical & Industrial Engineering

PhD, PEng

Location
University of Toronto
Address
Toronto, Ontario Canada
Research Interests
analytics, explainable AI, medical decision-marking, outcomes prediction, operational improvement

Dionne Aleman is the Associate Dean of Cross-Disciplinary Programs in the Faculty of Applied Science & Engineering at the University of Toronto, and is an Associate Professor in the Department of Mechanical & Industrial Engineering. She holds appointments in the UofT Institute for Health Policy, Management & Evaluation, the UofT Institute for Pandemics, and the UHN Techna Institute. She is also a co-Director of the International Collaborative for Translational Digital Health. She received her PhD in Industrial and Systems Engineering from the University of Florida (2007).

Dr. Aleman’s research focuses on the application of operations research to healthcare systems to improve the quality, timeliness, and efficiency of care. This research includes using optimization, simulation, machine learning, and graph theory to design radiation therapy treatment plans, to predict and mitigate the spread of pandemic diseases, to improve surgical scheduling, and to optimize organ transplant matches. Dr. Aleman has held grants from NSERC, CIHR, CFI, ORF, and NSF. She is a two-term past President of the Canadian Operational Research Society (CORS).