Jenni Rinker
Associate Professor
Roskilde, Region Zealand, Denmark
Summary
👤
Senior🎓
Top SchoolJenni Rinker is an Associate Professor and wind energy researcher with 11 years of experience specializing in wind turbine loads, reliability, and turbulence–turbine interactions. She combines rigorous academic research (PhD from Duke) with hands-on code-based engineering, routinely using Python, LaTeX, Fortran, Matlab, and C++ in Git-centric workflows and contributing to PyConTurb. Her work spans uncertainty quantification, stochastic processes, structural dynamics, and plant-level optimization, applied to both academic and industrial projects at DTU. A seasoned instructor and past summer-school lecturer in advanced scientific Python, she blends pedagogy with practical simulation expertise—an example being her research on phase coherence in natural wind. Based in Roskilde, Denmark, she is as comfortable developing open scientific tools as she is designing load-calculation methodologies for real turbines.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Mechanical Engineering and Materials Science, Doctor of Philosophy (Ph.D.), Mechanical Engineering and Materials Science at Duke UniversityBachelor of Science (B.S.), Engineering, Bachelor of Science (B.S.), Engineering at Harvey Mudd College
English, Spanish
Github Skills (147)
gradient-descent10
python10
testing10
language-server-protocol10
power-systems10
numerics10
modelica10
turbine10
python-development10
qt10
numba10
fundamental10
interpolation10
blas10
energy-system10
Programming languages (11)
Github contributions (5)
jennirinker/dissertation
Mar 2015 - Aug 2016
Contributions:35 commits, 148 pushes, 1 branch in 1 year 4 months
jennirinker/code-for-the-world
Mar 2018 - Jan 2019
A tutorial for Advanced Scientific Python Programming on organizing, documenting, and distributing code
Contributions:1 release, 18 commits, 2 PRs in 10 months
python-programmingorganizingpythonscientific
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