Wolfram Schenck is a professor of engineering informatics at Bielefeld University of Applied Sciences with over a decade of experience in cognitive robotics, motor learning, and computational neuroscience. He holds a summa cum laude Dr.-Ing. in cognitive robotics and began his career blending psychology and informatics at the Max Planck Institute, evolving into high-performance computing work for simulation at Forschungszentrum Jülich. His research and teaching focus on adaptive robotic systems that learn from experience, and he co-founded the Center for Applied Data Science Gütersloh to translate academic methods into applied solutions. An active contributor to scientific open-source software, he improved timing and performance monitoring in the widely used NEST neural simulator, reflecting a rare combination of theoretical insight and practical systems engineering.
10 years of coding experience
14 years of employment as a software developer
Diploma, Psychology, Diploma, Psychology at Ruprecht-Karls-Universität Heidelberg
Engineer's Degree, Cognitive Robotics, Dr.-Ing. (summa cum laude), Engineer's Degree, Cognitive Robotics, Dr.-Ing. (summa cum laude) at Universität Bielefeld
Contributions:5 reviews, 61 commits, 4 PRs in 5 years 8 months
Contributions summary:Wolfram primarily contributed to the NEST simulator's core functionality by introducing and improving the timing and performance monitoring capabilities. They implemented timers for event collocation and communication, and added a local spike counter to track generated spikes, enhancing the simulation's internal profiling. The user also fixed a critical bug related to the `SIZE_MAX` definition on specific platforms and made several code formatting improvements.
Contributions:2 PRs, 88 pushes, 17 branches in 5 years 8 months
simulatornestnest-simulatorsimulation
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Wolfram Schenck - Professor at Hochschule Bielefeld