Tobias Heinemann

Senior Quantitative Developer

Leiden, South Holland, Netherlands
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Summary

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Senior
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Tobias Heinemann is a Senior Quantitative Developer with 23 years of experience blending theoretical physics, applied mathematics, and production software to solve complex energy and financial problems. He holds a PhD in Applied Mathematics from Cambridge and transitioned from academic roles—Associate Professor at the Niels Bohr Institute and research positions at IAS and UC Berkeley—into industry-facing quantitative engineering at KYOS Energy Consulting. Tobias is experienced in building robust quantitative models and tooling that bridge rigorous theory with practical deployment, particularly in energy markets and risk analytics. His academic pedigree informs a disciplined approach to numerical methods and model validation, while his industry work emphasizes maintainable, production-ready code. Based in Leiden, he brings a rare combination of deep theoretical insight and hands-on experience shipping commercial analytics. An understated strength is his track record of mentoring researchers into engineering roles, easing the research-to-production transition.
code23 years of coding experience
job11 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.), Applied Mathematics, Doctor of Philosophy (Ph.D.), Applied Mathematics at University of Cambridge
bookMaster's Degree, Physics, Master's Degree, Physics at Københavns Universitet
languagesEnglish, German
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Github Skills (56)

fenics10
density-functional-theory10
petsc10
snl-applications10
api10
diffraction10
libretro10
finite-element-analysis10
hydrodynamics10
finite-difference10
linux9
multiphysics9
frontend9
cross-platform8
latex7

Programming languages (9)

C#TypeScriptCTeXPHPVimLSwiftCython

Github contributions (5)

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tobson/vlasov-sheet

Jun 2014 - Sep 2015

Contributions:19 commits, 4 pushes, 2 branches in 1 year 3 months
tobson/vim

Jan 2015 - May 2021

Contributions:38 pushes in 6 years 4 months
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Tobias Heinemann - Senior Quantitative Developer