Andris Piebalgs is a Senior Process Optimization Engineer with eight years of experience applying chemical engineering, mathematical modelling and data science to improve operational efficiency in heavy-asset industries and direct air capture. He combines a PhD in Chemical Engineering with hands-on expertise in CFD (OpenFOAM, Ansys Fluent), ML and software engineering to turn complex multiphase and transport physics into production-ready analytics and control solutions. At Cognite he led data science strategy for energy customers and bridged technical sales to ensure solutions delivered measurable value, and now focuses on process-scale optimization at Climeworks. Known for translating rigorous academic modelling into pragmatic industry tools, he has a track record of shipping bespoke in-house software and leading cross-functional teams to operationalize models. An unusual strength is his blend of biofluids CFD research and production ML experience, which helps him tackle both first-principles and data-driven problems.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Chemical Engineering, Doctor of Philosophy (Ph.D.) Chemical Engineering at Imperial College London
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