Summary
Keegan Lensink is a Senior Applied Scientist with nine years of experience applying machine learning and scalable systems to real-world problems, currently advancing applied science at Amazon. He blends deep technical rigor—from a PhD in Computational Science and geophysics roots—to pragmatic engineering, shipping production systems for covert weapon detection, medical imaging, and large-scale IO frameworks. Keegan excels at turning research prototypes into market-ready products, leading cross-functional teams and building performant, distributed tooling like SeisIO.jl. He’s passionate about scientific communication and translating complex models into intuitive insights for non-technical stakeholders. A practical generalist, he frequently seeks cross-domain inspirations, repurposing techniques between geophysics, computer vision, and telecommunications to accelerate solutions.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computational Science, Doctor of Philosophy - PhD Computational Science at The University of British Columbia