portrait of Mariel Lavieri

Mariel Lavieri

Associate Professor


1733 IOE


Additional Title(s)

  • Associate Chair of Undergraduate Studies

Dr. Mariel Lavieri is an Associate Professor in the Department of Industrial and Operations Engineering at the University of Michigan.  She has bachelor’s degrees in Industrial and Systems Engineering and Statistics and a minor in String Bass Performance from the University of Florida. She holds a Masters and PhD in Management Science from the University of British Columbia.

In her work, she applies operations research to healthcare topics. Among others, Dr. Lavieri has developed dynamic programming, stochastic control, and continuous, partially observable state space models to guide screening, monitoring and treatment decisions of chronic disease patients. She has also created models for health workforce and capacity planning.

Dr. Lavieri is the recipient of the 2017 Willie Hobbs Moore Aspire, Advance, Achieve Mentoring Award (for formal and informal mentorship provided to her students), the 2016 National Science Foundation CAREER Award, the 2013 International Conference on Operations Research Young Participant with Most Practical Impact Award, and the 2006 Bonder Scholarship. She received the 2009 Pierskalla Best Paper Award, and an honorary mention in the 2010 George B. Dantzig Dissertation Award. She participated in the 2016 Frontiers of Engineering Symposium organized by the National Academy of Engineering. Dr. Lavieri has mentored students who won the 2012 Doing Good with Good OR, the 2013 Society for Medical Decision Making Lee Lusted Award, the 2015 IBM Research Service Science Best Student Paper Award, and the 2016 Production and Operations Management Society College of Healthcare Operations Management Best Paper Award.


Research Interests


  • Data Analytics
  • Predictive Data Analytics


  • Healthcare Operations
  • Healthcare Policy
  • Medical Decision Making

Operations Research Tools

  • Approximation Algorithms
  • Decision Analysis
  • Dynamic Programming
  • Optimization
  • Optimization Under Uncertainty
  • Optimum Decision Making
  • Stochastic Opt. & Control
  • Stochastic Processes

Quality & Applied Statistics

  • Bayesian Statistics
  • Machine Learning
  • Multivariate Analysis

Research areas:
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Professional Service