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.
I am recruiting participants for a study of how engineers reason about data. This study includes a free 6-week professional development course!
A brief demo of exploratory model analysis.
A framework for variability in engineering
An example on materials informatics concepts.
I was invited to give a talk at Cambridge.
Accelerating materials development with data science
To get ready to teach online in the fall, I ran a summer offering of Data Science for Olin Alumni.
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*.