Frits is a world-class optimisation scientist working where reinforcement learning meets real-world constraints. Formerly with CSIRO and Monash, he’s built autonomous systems that plan, adapt, and improve under pressure - from smart cities to complex supply chains and rostering systems.
At RabbitHawk, Frits unites forecasting and optimisation into a living partnership - creating self-learning decision loops that continuously refine themselves.
His obsession: systems that don’t just solve problems once, but keep getting smarter every day.
Frits' Google Scholar page is here.
