Luke Decker is an exploration geophysicist and computational scientist with 13 years of experience applying advanced signal processing, time-series analysis, and machine learning to subsurface problems in both industry and academia. With a PhD from UT Austin’s Oden Institute, he specializes in optimal parameter estimation for large datasets and brings deep expertise in HPC and parallel programming using C++, Fortran, Python, and Julia. At Chevron he has bridged research and applied geophysics—translating mathematical models and differential-equation-based forward problems into production workflows. Luke’s background spans open-source development, statistical modeling, and optimization, and he holds work authorization for both the US and EU, enabling international collaborations. A less obvious strength is his dual grounding in physics and geophysics (BA and BS) that informs pragmatic, physically consistent modeling choices.
13 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computational Science Engineering and Mathematics, Doctor of Philosophy (Ph.D.) Computational Science Engineering and Mathematics at The University of Texas at Austin
Bachelor of Science (BS) Geophysics, Bachelor of Science (BS) Geophysics at Western Washington University
Bachelor of Arts (BA) Physics, Bachelor of Arts (BA) Physics at Whitman College
High School Diploma, High School Diploma at Bishop Blanchet High School
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