About me
I'm a scientist & engineer with a PhD in machine learning (ML) and a passion for (combinatorial) optimization.
During my PhD at the University of Amsterdam (supervised by Max Welling), I have published and been an (outstanding) reviewer at top ML conferences, on the topic of machine learning for combinatorial optimization / vehicle routing. I received a best paper honorable mention at ICML 2019 for my work on stochastic beam search and I have been a Research Scientist Intern at Google DeepMind. See Google Scholar for my papers and citations.
At ORTEC, I worked on various ML & optimization projects such as warehousing, load optimization and vehicle routing. I initiated and lead the team that won the 2021 DIMACS VRPTW (Vehicle Routing Problem with Time Windows) challenge and I initiated and organized the EURO Meets NeurIPS 2022 Vehicle Routing Competition with over 150 participants and 50 final submissions.
I have participated in many (ACM-ICPC style) programming and math competitions. While Python is my major tool, I have worked with many languages and I am a quick learner so I can code my way around. I like engineering, to build stuff and I will typically find a way to make things work, aiming for optimal results.
Interests
- Machine Learning
- Combinatorial Optimization
- Vehicle Routing
Education
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PhD in Machine Learning, 2022
University of Amsterdam
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MSc in Operations Research, 2014
VU University Amsterdam
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MSc in Business Analytic, 2014
VU University Amsterdam
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BSc in Business Analytic, 2012
VU University Amsterdam
