How should engineers select materials when there is uncertainty in the material properties?
Allowables are used to size safety-critical aircraft structures, but when are they conservative?
Naive model metrics can be misleading when using AI for materials discovery. I introduced techniques to better assess a model's suitability for guiding materials development.
Understanding Engineers' Reasoning Under Uncertainty
Developing user-focused software for model analysis under uncertainty
Accelerating materials development with data science
Peforming model analysis under uncertainty is uncommon and challenging. I developed Grama to make uncertainty quantification easier to teach and to communicate.
High-dimensional simulation data can be difficult to analyze. In this work I merged physical insights with data-driven techniques to perform *data-driven dimensional analysis*.
Present aircraft sizing criteria can be inefficient or unsafe. In this work I develop provably conservative alternatives.