John Greenhall
Research Scientist at Los Alamos National Laboratory
Santa Fe, New Mexico, United States
Summary
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Senior🎓
Top SchoolJohn Greenhall is a research scientist at Los Alamos National Laboratory with a PhD in Robotics from the University of Utah and a decade of experience applying acoustics, machine learning, and multiphysics modeling to real-world sensing challenges. His doctoral work used ultrasound beamforming to self-assemble microparticles and design 3D-printed microstructured materials, an uncommon intersection of fundamental acoustics and materials engineering. At LANL he develops nondestructive, noninvasive ultrasound techniques for hard problems—spot-checking pressure in sealed containers, tracking temperature in energetic materials, detecting microcracks in thermoelectrics, and monitoring rotating machinery—combining COMSOL-based simulation, custom numerical models, and ML pipelines in MATLAB, Python, and PyTorch. He has led experimental automation and deployable sensor systems, written and managed funded proposals, and mentored multiple postdocs and ~20 graduate students. Colleagues rely on him for turning noisy, time- and frequency-domain acoustic signals into actionable insights for customers with demanding environments. Based in Santa Fe, he blends hands-on experimental craft with computational rigor to bridge lab innovation and field deployment.
10 years of coding experience
9 years of employment as a software developer
The University of UtahGithub contributions (5)
ambrosiano/python-x
Oct 2016 - Sep 2019
Contributions:30 pushes, 1 branch in 2 years 11 months
lanl-ansi/gmd-data
Jan 2017 - Apr 2017
Contributions:20 commits, 35 pushes, 1 branch in 2 months
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