Contact

Contact: Gwendolyn Brown

Assistant to the Chair

Industrial and Operations Engineering

(734) 763-1332

1877 IOE

Mariel Lavieri | Faculty

Mariel Lavieri

Associate Professor, Industrial & Operations Engineering

2715 IOE

(734) 647-0872

 

Short Bio

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. Her most recent research develops 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 developed models for health workforce planning which take into account training requirements, workforce attrition, capacity planning, promotion rules and learning. Dr. Lavieri is the recipient of the Bonder Scholarship, and an honorary mention in the George B. Dantzig Dissertation award. She received the 2009 Pierskalla Award for the best paper presented in the Health Applications Society at INFORMS and mentored students who won the 2012 Doing Good with Good OR, the 2013 Society for Medical Decision Making Lee Lusted Award for Quantitative Methods and Theoretical Developments and the 2015 IBM Research Service Science Best Student Paper Award. Dr. Lavieri was named the 2013 Young Participant with Most Practical Impact by the International Conference on Operations Research.

Research Interests

  • Analytics
    Data Analytics
    Predictive Data Analytics
  • Applications
    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

Publications