Summary

MSc. Physics, specializing in sensors, data acquisition, and data analysis, experienced with Python. Areas of experience include applied magnetostatics, nondestructive testing and evaluation (NDT&E), prognostic structural health monitoring (PSHM), and condition-based maintenance (CBM).

Career Highlights

Awarded U.S. Patent 7,080,555 and Japanese Patent 4,607,960 (pending EU) for prognostic SHM system for composites. Sole developer of the system’s software (C, C++, and Lua). Flight tested in 2006, to date the basis of more than $1 million in follow-on funding for employer.
Built custom embedded Linux-based operating system, software development kit (SDK), and virtual machine emulator for the SHM system.
Lead developer of NDIToolbox, extensible software written in Python (wxPython, Numpy, SciPy, and matplotlib/pylab) for nondestructive inspection (NDI) data analysis. Basis of additional projects for employer and third parties.
Designed and built large-scale magnetics facility to simulate structural response to Earth’s magnetic field. Basis of follow-on multi-million dollar project awarded to employer.
Identified a critical issue with the magnetics system in an in-line inspection (ILI) tool’s manufacturing process, saved the project $250,000.

NDE Engineer / Scientist
TRI/Austin, Inc.
Austin Texas

Summary of position: support government and industry clients in the development of nondestructive evaluation (NDE), structural health monitoring (SHM), condition-based maintenance (CBM), and magnetics-based systems; provide instrumentation and scientific computing software for other divisions and projects as required. Manager for up to three junior members of the division.
Write funding proposals to government and industry, project management.
Develop scientific computing and business desktop applications in Python and wxPython.
Design and build LabVIEW-based data acquisition and electromechanical systems in Windows.

Magnetics Engineer
Pipetronix Ltd. (former Preussag AG concern)
Toronto Ontario

Summary of position: assisted in the development of a magnetic flux leakage (MFL) inline inspection (ILI) tool for Statoil’s Norne Heidrun pipeline in the North Sea. Tool is used to detect cracks, corrosion, and pitting in oil and natural gas pipelines without taking the pipeline offline.
Primarily responsible for experimental verification of finite element models of magnetic behavior, and for development of internal applications. Occasional magnetostatics FEA and MATLAB development.

Master of Science (Physics)
Queen’s University
Kingston Ontario

Focus of research: effects of stress conditions on the magnetic behavior of flaws in steel pipelines as part of the Applied Magnetics Group. Completed final months of program concurrently with Magnetics Engineer position at Pipetronix Ltd.

Honours Bachelor of Science (Physics)
Lakehead University
Thunder Bay Ontario

Graduated from four-year Honours program in Physics, with additional specialization in Energy and Fuel Science.

Python Programming Certificate
University of Illinois Office of Continuing Education
2011