Summary
Peter Dieter is a numerics expert specializing in large-scale mathematical programming, dynamic and stochastic decision models, and mixed-integer linear programs, with eight years of experience bridging academic research and industrial optimization in the automotive sector. He holds a PhD candidacy in Operations Research from Paderborn University and has taught and published in logistics and mobility, serving as a reviewer for top journals such as EJOR and Transportation Research Part E. At Zoi he applies advanced quantitative modeling to real-world automotive problems, building on prior research internships tackling time-dependent vehicle routing and automation tools for industrial cost estimation. Comfortable moving between theory and practice, he combines rigorous stochastic modeling skills with practical tool development (e.g., R Shiny) to deliver deployable solutions. Based in the Stuttgart region, he brings international academic experience from the University of Twente and semesters abroad, which informs a global, data-driven approach to optimization.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Operations Research, Doctor of Philosophy - PhD, Operations Research at Paderborn University
Master of Science - MSc, Industrial Engineering and Management, Master of Science - MSc, Industrial Engineering and Management at University of Twente
Semester Abroad, Semester Abroad at ESSCA Ecole de management
Semester Abroad, Semester Abroad at Instituto Superior Técnico