Andrew Collord
Computational Products Applications Engineer
Portland, Oregon Metropolitan Area United States
Summary
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Senior🎓
Top SchoolAndrew Collord is a Computational Products Applications Engineer with 11 years of experience applying physics-based modeling and data science to accelerate semiconductor process development. At Lam Research he builds MAPD simulations of plasma etch and deposition, translates complex modeling results into actionable guidance for process teams, and develops Bayesian optimization pipelines and Python data tooling for PDS workflows. His background as a PhD chemical engineer and hands-on experience in epitaxy, etch, and high-throughput experimental automation give him rare cross-disciplinary fluency between lab science and production-scale process engineering. He’s proven at benchmarking algorithms against open-source tooling to create best-known-methods and at cutting operational costs through data-driven initiatives. Based in Portland, he combines deep mechanistic insight with pragmatic software engineering to shorten development cycles and improve manufacturability.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD), Chemical Engineering, Doctor of Philosophy (PhD), Chemical Engineering at University of WashingtonBachelor of Science (BS), Chemical Engineering, Bachelor of Science (BS), Chemical Engineering at The University of New Mexico
EnglishGithub contributions (5)
acollord/acollord.github.io
Jan 2015 - Jun 2015
Contributions:40 commits, 55 pushes, 2 branches in 5 months
acollord/hello_world
May 2017 - May 2017
Contributions:2 PRs, 2 pushes, 3 branches in 1 day
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