Dionne Aleman is the Associate Dean of Cross-Disciplinary Programs in the Faculty of Applied Science & Engineering at the University of Toronto, and is a 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 Centre for Translational Digital Health. 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 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). Within INFORMS, she has served as a member of the Meetings Committee and the Committee for Teaching and Learning and as Chair/President of the Health Applications Society (HAS), Public Sector OR Section (PSOR), Junior Faculty Interest Group (JFIG), and INFORM-ED. Within IISE, she is the Canada Regional VP. Dr. Aleman has also served in editorial positions for Royal Society Open Science, Wiley Encyclopedia of Operations Research and Management Science, IISE Transactions on Healthcare Systems Engineering, OMEGA, International Journal of Biomedical Data Mining, and Operations Research in Health Care.

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Appointments and affiliations

  • Optimization
  • Machine learning
  • Simulation
  • Healthcare applications
  • PhD in Industrial & Systems Engineering, 2007

    University of Florida

  • MSc in Industrial & Systems Engineering, 2006

    University of Florida

  • BSc in Industrial & Systems Engineering, 2003

    University of Florida

Recent publications

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(2023). Spatio-temporal clustering of multi-location time series to model seasonal influenza spread. IEEE Journal of Biomedical and Health Informatics.

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(2022). A feasibility look to two-stage robust optimization in kidney exchange. arXiv.

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(2022). SuPART: supervised projective adapted resonance theory for automatic quality assurance approval of radiotherapy treatment plans. Physics in Medicine and Biology.


(2022). Understanding machine learning classifier decisions in automated radiotherapy quality assurance. Physics in Medicine and Biology.

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(2021). Logic-based benders decomposition and binary decision diagram based approaches for stochastic distributed operating room scheduling. INFORMS Journal on Computing.

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Awards and honours

  • Eldon Gunn Service Award, CORS (2019)
  • Volunteer Service Award - Distinguished Level, INFORMS (2016)
  • Fora Moving Spirit Award, INFORMS (2015)
  • Diplomate status, IISE Society for Health Systems (2014)
  • Best Poster Award, Imaging Network of Ontario (2013)
  • Best Paper Award, Industrial Engineering Research Conference of IISE (2006)

Selected service

  • Canada Regional Vice President, Institute of Industrial and Systems Engineers (IISE) (2023-present)
  • Meetings Committee member, INFORMS (2023-present)
  • General co-Chair, INFORMS Healthcare Conference (2023)
  • President, Canadian Operational Research Society (CORS) (2016-2018)
  • Chair, INFORM-ED Interim Advisory Board (2016-2018)
  • President, INFORMS Section on Public Sector OR (2015)
  • President, INFORMS Junior Faculty Interest Group (2011)
  • Chair, INFORMS Health Applications Society (2010)


  • Coordinator, MIE490: Industrial Engineering Capstone Program
  • MIE1623: Healthcare Engineering
  • MIE1620: Linear Programming and Network Flows
  • MIE1616: Research Topics in Healthcare Engineering
  • HAD5736: Operations Research Tools for Quantitative Health Care Decision Making
  • MIE367: Cases in Operations Research
  • MIE335: Algorithms and Numerical Methods
  • MIE262: Operations Research I
  • MIE250: Fundamentals of Object-Oriented Programming (Java)