Associate Teaching Professor in Chemical Engineering at Brigham Young University.

Senior Consultant at Safety Management Services, Inc. with 15 years of experience in managing client projects in modeling and testing, and acting as a US DOT authorized test agent.

GoDetect is an automated software solution used by more than a dozen government and industry laboratories to visually detect reactions of small amounts of energetic materials subjected to an electrostatic spark. Software originally developed using an image analysis algorithm and deployed via CD installation disks. Recently the algorithm was updated to use Deep Learning (using Fastai and Pytorch) and deployed with Docker. Awarded two patents.

Developed the Integrated Violence Model with object-oriented programming in python, javascript, and Google Cloud API's to predict reaction violence from confined and unconfined deflagrating substances and articles. It has been used for the last 10 years at Safety Management Services, Inc.

The ET Users Group is a consortium of both government and industry explosive testing laboratories dedicated to improving and standardizing in-process energetic materials response characterization methods.

Coordinated the collaborative test efforts of multiple laboratories for multiple different test methods. Those standardization efforts are highlighted in a yearly meeting.

Determining differences between test outcomes is not just a comparison of the test means. Statistics are used to determine if any differences are significant. When the test methodology includes multiple tests at various levels, different methods can be used to determine any differences. I developed two such methods: the Statistical Relative Comparison method and the Chart Significance method detailed here.

See here for a list of publications. I have presented at multiple international and national conferences for safety and risk assessment methods as well as the ET Users Group that I have directed for the last 13 years. I was recently awarded the Technical Achievement Award by MSIAC, a NATO directed project office.

Process Engineer at Fab 12 in Chandler Arizona for Implant of specialty ions for the manufacture of semiconductor processors. Used statistical analysis tools to identify commonality flows for identification of defects and associated consequences.

Together with Professor Dean Wheeler at Brigham Young University, I developed the charge dynamics routine, a theoretical method to programmatically solve for the electric potentials of metal atoms to simulate the charged electrochemical interface for aqueous solutions of copper deposition solutions. Further details here and here.

Completed a Bachelor of Science degree in Chemical Engineering in 2001 followed by a PhD in Chemical Engineering in 2006.