Research

The central themes of my research are

• applied mathematics,
• computational science & engineering,
• data science, machine learning, and artificial intelligence, and
• operational excellence

with strong emphasis on

• applications to science, engineering, and business, and
• development of open-source software packages to facilitate technology transfer.

Within this broad context, I have recently focused on problems in the following areas.

Applied Mathematics / Computational Science & Engineering

• powder X-ray diffraction (PXRD) indexing algorithms
• quantitative analysis of spectrometric data
• analysis of crystallographic symmetry

Data Science / Machine Learning / Artificial Intelligence

• application of machine learning to analysis of dermatology image data
• assessment of dataset learnability prior to training machine learning models

Operational Excellence

• cookiecutters for scientific software development, computational research, and dataset management