Leon Lan
Co-Founder at RoutingLab
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolLeon Lan is a co-founder and routing specialist with eight years of experience building software for routing and scheduling, currently based in Amsterdam. He holds cum laude degrees in Econometrics & Operations Research and Mathematics and completed a PhD candidacy focused on optimization, blending strong theoretical foundations with practical system design. Leon is a hands-on back-end developer and active open-source contributor—his work on ALNS implemented robust stopping criteria, runtime statistics, and architectural refactors that reveal deep familiarity with metaheuristics for vehicle routing. At RoutingLab he translates academic algorithms into production-ready tooling, and his background as a consultant and teacher gives him a knack for turning complex optimization problems into clear, usable software. Notably, his contributions emphasize both algorithmic correctness and observability, tracking runtime and progress for repeatable experiments.
8 years of coding experience
MSc Econometrics and Operations Research, 9.0/10 (Cum Laude), MSc Econometrics and Operations Research, 9.0/10 (Cum Laude) at Vrije Universiteit AmsterdamBSc Liberal Arts and Sciences, Mathematics, 3.7/4 (Cum Laude), BSc Liberal Arts and Sciences, Mathematics, 3.7/4 (Cum Laude) at Amsterdam University CollegeSemester abroad, Mathematics, Semester abroad, Mathematics at National University of Singapore
Dutch, English, Chinese
Github Skills (2)
python10
testing10
Programming languages (8)
Github contributions (5)
N-Wouda/ALNS
May 2022 - Nov 2022
Role in this project:
Back-end Developer
Back-end DeveloperContributions:96 reviews, 16 commits, 26 PRs in 6 months
Contributions summary:Leon primarily focused on implementing stopping criteria for the Adaptive Large Neighborhood Search (ALNS) algorithm. Their contributions included creating base classes, implementing and testing stopping criteria such as maximum iterations and runtime, and refactoring existing code for improved efficiency. Additionally, they added features to the statistics collection to track algorithm progress, including start time and total runtime, and addressed operator coupling dependencies. The user's work involved significant modifications to the core `ALNS.py` and test files, indicating a deep understanding of the algorithm's inner workings.
pythonstable-baselinesvrpadaptivenumba
leonlan/dynamic-dispatch-waves
Aug 2023 - Mar 2024
Code for the dynamic dispatch waves problem.
Contributions:1 release, 3 reviews, 18 PRs in 6 months
dynamic-dispatch-wavesdynamic-vehicle-routingmarkov-decision-processsample-scenariovehicle-routing-problem
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