Kramer Harrison

Sr. Optical Engineer, EUV Optical Design Competence Lead at ASML

Eindhoven, North Brabant, Netherlands
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Summary

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Kramer Harrison is a senior optical engineer with nine years in advanced photolithography, currently leading EUV optical design and modeling competence at ASML in Eindhoven. He combines a strong foundation in physics, mathematics, and optics with hands-on experience designing and simulating high-performance EUV systems across source and tool development. Kramer actively applies programming and algorithm design—maintaining an open-source Python package for optical design—to streamline modeling and optimization workflows and explore machine learning–driven improvements. His background ranges from lab research in quantum optics to practical fabrication and machining, giving him a rare mix of theoretical rigor and shop-floor practicality. Outside work he pursues hobby electronics, travel, and guitar, reflecting a pragmatic, creative approach to problem solving.
code9 years of coding experience
job9 years of employment as a software developer
bookMaster of Science (M.S.), Optics/Optical Sciences, Master of Science (M.S.), Optics/Optical Sciences at University of Rochester
bookBachelor of Science (B.S.), Physics/Mathematics, Bachelor of Science (B.S.), Physics/Mathematics at University of Oklahoma
languagesSpanish, Italian, English, Dutch
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Github Skills (22)

pytorch10
polarization10
python10
raytracing10
simulation-framework10
physics10
gpu10
differentiable-programming10
scientific-computing10
modeling10
optimization10
generative-adversarial-network9
computational-physics7
machine-learning6
artificial-intelligence6

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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optiland/optiland

Aug 2017 - Aug 2017

Comprehensive optical design, optimization, and analysis in Python, including GPU-accelerated and differentiable ray tracing via PyTorch.
Contributions:13 releases, 72 reviews, 5 commits in 1 day
gpupythonpytorchraytracinglens-design
HarrisonKramer/LensAI

Oct 2024 - May 2026

Integrated Machine and Deep Learning for Optical Design
Contributions:12 pushes, 2 branches, 1 comment in 1 year 7 months
deep-learningartificial-intelligencecomputational-opticscomputational-physicsdata-science
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