Hi! I’m Jaike van Twiller, a postdoctoral researcher passionate about data-driven decision-making for a brighter future, working at the IT University of Copenhagen in the Data Science section and part of the Maritime Hub.

Research and Teaching

My research focuses on developing decision-support systems using operations research and machine learning, aiming to improve operational outcomes while minimizing environmental impact. From transport and supply chain optimization to inventory and manufacturing management, I develop solutions that bridge academia and industry, turning complex challenges into actionable insights through collaborative projects. In teaching, I cover machine learning and data-driven decision-making in the courses “Introduction to Artificial Intelligence” and “Quantitative Methods & Business Analytics”, and I supervise student projects addressing topics from real-world industry problems to game-solving challenges.

Education and Background

My academic journey began with a Bachelor of Science in Industrial Engineering at the Amsterdam University of Applied Sciences, after which I continued with a Master of Science in Operations Management and Logistics at the Eindhoven University of Technology. Most recently, I obtained a PhD in Artificial Intelligence and Operations Research from the IT University of Copenhagen, supervised by Associate Professor Rune Møller Jensen and Associate Professor Djordje Grbic. My PhD Thesis is named “Learning and Combinatorial Optimization for Efficient Container Vessel Stowage Planning”, which covers how machine learning and traditional combinatorial optimization models can be used to efficiently solve a realistic yet complex planning problem in maritime logistics with global implications for the economy and environment.