Summary
Jonathan Baker is a signal processing engineer and mathematician with 12 years of technical experience and a PhD from Virginia Tech focused on vibrations engineering and novel global mode calculation for multibody structures. He now develops HPC radar signal processing in Python at Raytheon, blending deep numerical methods with practical, high-performance implementation. As a graduate instructor he coached senior capstone teams across diverse applied projects—sentiment analysis on military surveys, keystroke-based authentication, and image-based additive manufacturing defect detection—demonstrating an ability to translate theory into interdisciplinary solutions. His background includes model order reduction prototyping at Sandia and early ML work detecting insurance fraud, signaling a pattern of turning mathematical insight into usable engineering tools. Based in Blacksburg, VA, he combines rigorous academic training with hands-on HPC and applied data-analytic problem solving.
13 years of coding experience
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at Virginia Tech
Master's degree, Computational and Applied Mathematics, Master's degree, Computational and Applied Mathematics at Rice University
Brigham Young University
Spanish, English