Summary
Peggy Lindner is an associate professor and data scientist with 12 years of experience building stable, high-performance data infrastructures and translating complex scientific problems into usable analytics. Trained in high-performance computing and with a PhD in mechanical engineering, she has led HPC tool development, managed large physiological and environmental datasets, and coordinated cross-disciplinary projects bridging digital humanities and engineering. She has directed student-centered programs like Data Analytics in Student Hands and co-led community-engaged data projects, demonstrating a commitment to making data free and accessible. Now serving as Associate Chair for Graduate Studies in Engineering Management, she combines research-led rigor with practical program leadership and grant-driven project development. A native of East Germany, she brings a long view on reproducibility and accessibility that informs both technical design and pedagogy.
12 years of coding experience
24 years of employment as a software developer
Diplom (equiv. M.S.), Geotechnology/Mining, Diplom (equiv. M.S.), Geotechnology/Mining at Technische Universität Bergakademie Freiberg
Ph.D., Mechanical Engineering, Ph.D., Mechanical Engineering at University of Stuttgart
English, German, Russian