Research Interests
Simulation-based design under uncertainty; data science in design and advanced manufacturing; stochastic multiscale analysis and materials design; design of metamaterials; multidisciplinary optimization; consumer choice modeling and decision-based design

Her research goal is to develop rational and computationally efficient design methods based on data science, optimization, statistical inference, and decision analysis for use in engineering design and manufacturing problems. Her current research involves close collaborations with experts in mechanics, manufacturing, materials science and engineering, social science, and computer science. In addition to the listed interests, other topics include risk analysis, model validation and uncertainty quantification, robust shape and topology optimization, deep learning, network analysis, microstructure characterization and reconstruction, and certification of additive manufacturing models.