Summary
Jerry Mcmahan is an applied mathematician and PNT engineer with 11+ years of experience blending mathematical modeling, signal and image processing, and embedded systems development. He has a strong track record of turning Bayesian and machine-learning methods into practical algorithms and production software using MATLAB, Python, and C/C++ across Linux/Unix and embedded targets. His work spans nondestructive evaluation, industrial image watermarking, and low-level firmware and driver development, giving him deep insight into both high-level inference and hardware constraints. An experienced scientific communicator and inventor with refereed publications and patents, he regularly translates complex math for diverse stakeholders. Based in Dayton, Ohio, he quickly assimilates new tools and domains to solve hard problems and has applied MCMC and Gaussian-process techniques to real-world inverse problems and quality-critical imaging systems.
11 years of coding experience
16 years of employment as a software developer
Bachelor of Science (BS) Electrical Engineering, Bachelor of Science (BS) Electrical Engineering at Mississippi State University
Doctor of Philosophy (PhD) Applied Mathematics, Doctor of Philosophy (PhD) Applied Mathematics at North Carolina State University
Mathematics, Mathematics at Stony Brook University