Biography

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 Toronto-Manchester Joint Translational Centre for 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 medical and healthcare systems to improve the quality, timeliness, and efficiency of care. This research includes using optimization, simulation, machine learning, and graph theory to design and validate radiation therapy treatment plans, to predict and mitigate the spread of pandemic diseases in urban populations, to improve hospital surgical scheduling, and to optimize organ transplant matches and multi-person chains. Dr. Aleman has held grants from NSERC, CFI, ORF, and NSF for her research.

She is a two-term past President of the Canadian Operational Research Society (CORS). Within INFORMS, she has served as a member of the Committee for Teaching and Learning and Chair/President of the Health Applications Society (HAS), Public Sector OR Section (PSOR), Junior Faculty Interest Group (JFIG), and INFORM-ED. Dr. Aleman has also served in editorial positions for the 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

Interests
  • Optimization
  • Machine learning
  • Simulation
  • Healthcare applications
Education
  • 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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(2022). Understanding machine learning classifier decisions in automated radiotherapy quality assurance (forthcoming). Physics in Medicine and Biology.

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(2021). Panel on simulation modeling for COVID-19. Proceedings of the Winter Simulation Annual Conference.

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(2021). How effective was Newfoundland & Labrador's travel ban to prevent the spread of COVID-19? An agent-based analysis. medRxiv.

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(2021). Increased surgical capacity without additional resources: Generalized operating room planning and scheduling. Production and Operations Management.

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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

  • 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)

Teaching

  • 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)

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