Dane Lacey
Associate Researcher
Erlangen, Bavaria, Germany
Summary
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Rockstar🎓
Top SchoolDane Lacey is an associate researcher and PhD candidate at the Erlangen National High Performance Computing Center with 11 years of experience applying computational and applied mathematics to research-grade software. He develops HPC and scientific software—authoring the PyLifetime package and contributing to the FINE project in collaboration with Forschungszentrum Jülich—bridging algorithmic theory and production code. Trained in applied mathematics (BS, University of Utah; MS, University of Erlangen-Nuremberg), he brings strong numerical analysis skills to wind energy and lifecycle modeling problems. Dane has a track record of moving research prototypes into reusable tools and enjoys working at the intersection of simulation, performance optimization, and reproducible research. Based in Erlangen, he pairs academic rigor with practical software engineering, often translating complex models into accessible Python packages.
10 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computational and Applied Mathematics, Master of Science - MS, Computational and Applied Mathematics at University of Erlangen-NurembergThe University of Utah
Github Skills (20)
likwid10
assembly10
benchmarking10
instrumentation10
power-management10
x8610
perf10
glibc10
profiling10
armv810
performance-tuning10
hardware-performance-counters10
benchmark9
sqf9
linux9
Programming languages (1)
Github contributions (1)
RRZE-HPC/likwid
Jun 2015 - Jun 2015
Performance monitoring and benchmarking suite
Contributions:1 commit, 11 pushes, 6 branches in 1 day
benchmarkingbenchmarkglibcnvidia-gpuperformance-engineering
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