Personal Profile

Jordan Perr-Sauer is a researcher in the Computational Science Center interested in software sustainability and explainable, verifiable, and interpretable artificial intelligence. He has worked on projects across multiple domains at NREL, including wind energy, transportation, advanced manufacturing, and high-performance computing. Jordan has a bachelor’s degree in applied mathematics, a master’s degree in computer science, and aims to use software to answer interesting scientific questions and to improve our world. 

Research Interests

Explainable, interpretable, and verifiable artificial intelligence

Software engineering

Data science and applied machine learning

Physics-informed machine learning

Uncertainty quantification

Verification and reproducibility of analysis results

Professional Experience

Technical Co-Founder, Moby Systems, Inc (2011–2014)

REU Internship, Indiana University Bloomington (2011)

Education/Academic Qualification

Master, Computer Science, University of Colorado Boulder

Bachelor, Applied Mathematics, University of Colorado Denver


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Collaborations and Top Research Areas From the Past 5 Years

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