Uncertainty quantification in structural and solid mechanics: Numerous sources of system uncertainty such as material property variability and loading randomness generate response uncertainty in structural and solid mechanics problems. My interests in this area lie in developing: (1) new methods for representing the input uncertainties as random fields and generating samples of those random fields; (2) efficient methods for quantifying uncertainty in systems with large numbers of random input parameters and performing dimension reduction on such systems; (3) System reliability effects in the structural systems Wind turbine analysis and reliability: Wind turbine research has concentrated largely on the energyproducing turbine itself, yet construction of the support structure can contribute up to 25% of the total life-cycle cost of an offshore turbine. I am working with collaborators on new methods for multi-physics, probabilistic simulation of offshore wind turbine support structures to allow designers to use quantitative risk-based approaches to design of such structures. Probabilistic damage modeling in random heterogeneous materials: Deterministic approaches to modeling material strength neglects the inherent random heterogeneity present in materials ranging from the very new (steel foam) to the very old (wrought iron). Through computational simulations, validated by experiments, I am characterizing the way in which material heterogeneity manifests as uncertainty in material response that then influences structural reliabilities. Other interests: Historic civil engineering structures; biomechanics; sustainability and the built environment.