Dr. Leifsson's research focuses on advancing fundamental computational methods for modeling, optimization, and uncertainty quantification in aerospace engineering design with an emphasis on scientific machine learning. Current application areas include multidisciplinary design optimization, multifidelity modeling, aerodynamic shape optimization, fluid-structure interaction, and aircraft design.