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Dr. Olivier holds a Diplôme d'Ingénieur (2013) from École Centrale de Nantes, France, an M.S. (2013), and a Ph.D. (2017) in Civil Engineering Engineering Mechanics from Columbia University, New York. Her doctoral work focused on the development of probabilistic data analytics tools for Structural Health Monitoring and damage detection applications. In her postdoctoral appointment (2018-2020) at the Hopkins Extreme Materials Institute, Johns Hopkins University, she worked on the development of Scientific Machine Learning algorithms for materials modeling applications. As an Associate Research Scientist at Columbia University (2020-2021), she developed data analytics tools for the optimization of emergency medical services deployment in the greater New York City area. Dr. Olivier's research interests lie at the intersection of physics-based modeling, data analytics, and uncertainty quantification, aiming to build resilient smart urban environments and enhance infrastructure management. Current trends in urbanization and climate-related hazards increase the load on aging infrastructure, necessitating reliable health monitoring and damage detection techniques.
Requires general GRE for all graduate degrees.