Daniel Philippus is a hydrology-focused researcher and software engineer with 11 years of experience building national-scale stream temperature models and hydraulic analyses. Based at Colorado School of Mines as a Post-Doctoral Fellow, he blends remote sensing, spatial statistics, machine learning, HEC-RAS hydraulics, and GIS to translate complex river processes into reproducible, automated modeling workflows. He maintains open-source Python tools—like HEC-RAS automation and stream temperature packages—that have accelerated large-scenario analyses and model calibration for restoration and water reuse projects. With dual training in civil and software engineering and a professional engineer-in-training designation in Colorado, he bridges field surveying and LIDAR processing to scalable, production-ready research code. Colleagues rely on him not only for rigorous modeling but for making hydraulic science accessible to diverse stakeholders.
11 years of coding experience
4 years of employment as a software developer
High School, High School at William Smith High School
Doctor of Philosophy - PhD Hydrology, Doctor of Philosophy - PhD Hydrology at Colorado School of Mines
High School International Baccalaureate, High School International Baccalaureate at UWC-USA
Bachelor of Science - BS Software Engineering, Bachelor of Science - BS Software Engineering at University of Texas at Dallas
Contributions:15 commits, 15 pushes, 1 branch in 2 years 10 months
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Daniel Philippus - Post-Doctoral Fellow at Colorado School of Mines