Summary
Jenni 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 University
Bachelor of Science (B.S.), Engineering, Bachelor of Science (B.S.), Engineering at Harvey Mudd College
English, Spanish