Summary
Mark Redd is a research and development engineer specializing in flammability safety and autoignition temperature (AIT) science, with a decade of hands-on experience bridging experimental design, data analysis, and predictive modeling. He built a low-cost, automated AIT measurement apparatus and wrote custom Python and C/C++ software to increase throughput and data reliability, filling gaps and improving AIChE's DIPPR 801 Database with measurements and methodological advances. Now at Intel, he applies rigorous experimental instincts and coding fluency to R&D challenges, combining a PhD-level understanding of chemical kinetics with practical lab and fabrication skills. Known for mentoring students and releasing previously closed-source prediction methods, he excels at turning complex theoretical assumptions into reproducible, deployable tools.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD), Chemical Engineering, Doctor of Philosophy (PhD), Chemical Engineering at Brigham Young University
German, English, Spanish