Summary
Robert Raynor is a Principal Researcher and PhD candidate turned applied ML scientist with eight years of experience developing algorithms for inverse problems, optics, and laser systems. Based in Seattle, he has progressed from physics and beam-control roles at the Air Force Research Laboratory to leading protocol research and engineering teams at Eigen Labs, bridging deep physical intuition with production-focused ML. His background in experimental optics and engineering physics informs practical solutions for imaging and sensing challenges that span academia, defense, and startups. Known for translating complex inverse problems into deployable algorithms, he brings both hands-on algorithm development and leadership in productizing research.
8 years of coding experience
3 years of employment as a software developer
Electrical and Computer Engineering, Electrical and Computer Engineering at University of Washington
Bachelor's degree Physics, Bachelor's degree Physics at United States Air Force Academy
Master's degree Engineering Physics, Master's degree Engineering Physics at U.S. Air Force Institute of Technology
English, Japanese