Oliver Watt-meyer is a Lead Research Scientist in Seattle with nine years' experience applying physics and atmospheric science to extract insights from large datasets and numerical experiments. He specializes in geospatial statistical methods, high-performance computing, and data visualization, bridging rigorous theory with scalable machine learning solutions developed at AI2 and Vulcan. His trajectory from a PhD in Physics to postdoctoral work at UW and industry roles shows a knack for translating complex climate and modeling problems into deployable research. Known for clear communication of technical results, he also brings practical experience running computationally intensive experiments and building reproducible analysis pipelines. A detail that sets him apart is his long-standing blend of academic rigor and product-focused research, enabling impact across both scientific and engineering teams.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at University of Toronto
Bachelor of Science (B.Sc.) Honours Mathematics and Physics, Bachelor of Science (B.Sc.) Honours Mathematics and Physics at McGill University
Pythonic file-system interface for Google Cloud Storage
Contributions:13 pushes, 4 branches in 4 years 10 months
gcppythongooglecloud-storageopenstack-swift
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