Data Science

Assessing the Frontier

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.

Olin College Research Study: Data Science for Engineers

Join my research study to take a free professional development course on data science for engineers!

Exploratory Model Analysis: A Brief Demo

A brief demo of exploratory model analysis.

Noise, Deviation, Anomaly, & Mistake

A framework for variability in engineering

Active Learning Examples

An example on materials informatics concepts.

November Cambridge Cheminformatics Talk

I was invited to give a talk at Cambridge.

Materials Informatics

Accelerating materials development with data science

Summer Data Science

To get ready to teach online in the fall, I ran a summer offering of Data Science for Olin Alumni.

Data-Driven Dimensional Analysis

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*.