Jip Dekker is a research fellow at OPTIMA/Monash University with 11 years of experience building programming languages and solver technology for combinatorial optimization. He has driven the development and optimization of the MiniZinc modelling language and contributed to advanced solvers like the lazy clause generation solver Chuffed, applying these tools to real-world problems in medicine and sports scheduling. Trained in concurrency, parallel programming and computer science (PhD ongoing at Monash), he blends deep academic rigor with practical system implementation and deployment. Based in Melbourne, he also has hands-on operational experience managing servers and web applications from earlier roles, which informs his pragmatic approach to reproducible, production-ready research software. An active community-builder, he focuses on interfaces that make diverse solving technologies accessible to practitioners beyond the lab.
11 years of coding experience
1 year of employment as a software developer
High School, Natuur en Techniek, Gymnasium, High School, Natuur en Techniek, Gymnasium at Maaswaal College
Master’s Degree, Concurrency and Parallel Programming, Master’s Degree, Concurrency and Parallel Programming at Uppsala University
Bachelor’s Degree, Computer Science, Bene Meritum, Bachelor’s Degree, Computer Science, Bene Meritum at Radboud Universiteit Nijmegen
Interdisciplinair Honoursprograma, Interdisciplinair Honoursprograma at Radboud Honours Academy
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Monash University
Contributions:221 commits, 138 pushes, 4 branches in 5 years 5 months
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