Philipp Lang is a software team leader with 11 years of experience building predictive systems and production-grade simulation software in the energy sector. He progressed from research-driven PhD work in computational mechanics to hands-on engineering roles at Schlumberger/SLB, combining deep numerical methods knowledge with practical C++ and multi-physics system design. Philipp has led machine learning engineering efforts and now directs a software team, bridging model research and reliable deployment for reservoir simulation and predictive analytics. His background includes migrating scientific codebases to modern C++11, integrating performance libraries (VTK, Boost, OpenMP), and shipping optimised single-thread and scalable solutions. He brings an uncommon mix of academic rigor—Best Paper Award and international invited talks—and industrial delivery that helps turn complex multi-scale physics into maintainable production software. Based in the Greater Oxford Area, he excels at turning research prototypes into robust tools used in operational workflows.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Computational Mechanics, Doctor of Philosophy (PhD), Computational Mechanics at Imperial College London
Master of Science (MSc), Reservoir Engineering, Master of Science (MSc), Reservoir Engineering at Montanuniversität Leoben
Contributions:52 commits, 50 pushes in 2 years 11 months
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