Mariel Lavieri joined the faculty at the University of Michigan - Ann Arbor in 2009. In her work, she applies operations research to healthcare topics. Her most recent research focuses on medical decision making, in particular on determining optimal monitoring and treatment by explicitly modeling stochastic disease progression. She has also developed models for health workforce planning, which take into account training requirements, workforce attrition, capacity planning, promotion rules and learning. Mariel is the recipient of the Bonder Scholarship (for her potential in making a significant contribution to the field of applied operations research in health care services), and an honorary mention in the George B. Dantzig Dissertation award. She has also received the Pierskalla Award for the best paper presented in a Health Applications Section at INFORMS and the Young Participant With Most Practical Impact Award from the International Conference on Operating Research. She has guided work that has won the Medical Decision Making Lee Lusted Award and the INFORMS Doing Good with Good OR Award.