Janek Laudan is a software developer and traffic engineering specialist with 11 years of experience, combining deep academic credentials (Dr.-Ing., magna cum laude) with hands-on simulation and backend development. Based in Berlin, he has driven performance improvements in MATSim-based traffic simulations at Simunto and refined network and demand-generation tooling during a long research tenure at TU Berlin. His open-source contributions include spatial data structures and grid implementations for the widely used MATSim ecosystem, reflecting a knack for scaling complex transportation models. Janek blends rigorous research instincts with practical engineering to optimize simulation performance and data pipelines, and he often surfaces nonobvious gains by rethinking network representations and spatial indexing.
11 years of coding experience
7 years of employment as a software developer
Dr. Ing, Traffic Engineering, magna cum laude, Dr. Ing, Traffic Engineering, magna cum laude at Technische Universität Berlin
Contributions:3 releases, 42 reviews, 416 commits in 3 years 9 months
Contributions summary:Janek appears to have focused on implementing core features of the project. The commits show the addition of Grid implementations, including both square and hexagonal grids, suggesting the development of spatial data structures. These implementations include the creation of square and hexagonal grids with methods to calculate the area of each cell and identify the coordinate given the grid location.
A repository containing code examples around MATSim
Role in this project:
Back-end Developer
Contributions:1 review, 22 commits, 6 PRs in 3 years
Contributions summary:Janek primarily contributed to improving and expanding the MATSim code examples, focusing on network-related functionalities. Their work involved refactoring network classes, enhancing network creation and modification examples, and integrating OSM data for network generation. They also made changes to population downsampling and implemented a new demand generation example, demonstrating a solid understanding of the MATSim framework and its functionalities.
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