Peter Beaucage
Director, Materials Platform Science
Germantown, Maryland, United States
Summary
👤
Senior🎓
Top SchoolPeter Beaucage is a senior materials science leader who applies autonomous and AI-driven approaches to accelerate discovery and characterization using neutron and x-ray scattering. With a PhD from Cornell and nine years of experience spanning beamline science, postdoctoral technique development, and national lab leadership at NIST, he co-founded the Autonomous Formulation Lab and is the lead developer of PyHyperScattering. Now directing materials platform and experimental science teams at Lila Sciences, he builds AI Science Factories that integrate robotics, scattering measurements, and data-first workflows. His background as a SANS beamline scientist and chemical engineer gives him rare depth across instrumentation, formulation, and software tooling. Colleagues rely on him to translate complex scattering experiments into automated, reproducible pipelines that scale discovery.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS Chemical Engineering, Bachelor of Science - BS Chemical Engineering at University of CincinnatiDoctor of Philosophy - PhD Materials Science & Engineering, Doctor of Philosophy - PhD Materials Science & Engineering at Cornell University
Github Skills (58)
reduction10
conda10
forge10
spectrum10
resampling10
resample10
diffraction10
slicing10
vtk10
software-defined-radio10
biology9
conda-forge9
visualization9
robotics9
python9
Programming languages (8)
Github contributions (5)
usnistgov/PyHyperScattering
May 2020 - Dec 2022
Tools for hyperspectral x-ray and neutron scattering data loading, reduction, slicing, and visualization.
Contributions:22 releases, 78 reviews, 340 commits in 2 years 7 months
pythonsoftware-defined-radioneutron-scatteringhyperspectralnumba
conda-forge/cyrsoxs-feedstock
Oct 2022 - Oct 2024
A conda-smithy repository for cyrsoxs.
Contributions:3 reviews, 18 PRs, 13 pushes in 2 years
pythoncondasmithy
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