Where will the fans sleep during the World Cup?
What happens when a host nation cannot house every fan? Building optimisation models to forecast Qatar’s FIFA 2022 lodging demand, balance infrastructure needs, and avoid costly overbuilding.
This is where I put thoughts into words, things I’ve learned, problems I’ve solved, and ideas I’m still exploring. Think of it as a mix of notes, stories, and experiments from my journey in data and tech.
Note: I’m still moving posts from my old website - more articles coming soon.
What happens when a host nation cannot house every fan? Building optimisation models to forecast Qatar’s FIFA 2022 lodging demand, balance infrastructure needs, and avoid costly overbuilding.
A discrete-event simulation of a laptop assembly line in Simul8, using task-time distributions, model resource constraints, and staffing tests to identify bottlenecks and improve throughput.
What happens when bike stations run dry or overflow? A mathematical model for Edinburgh’s cycle-hire system, showing how rebalancing can improve availability while reducing operational costs.
A look at the mathematics hidden inside a wedding seating plan: graph structure, compatibility scores, hard constraints, fairness, and why arranging a few tables can become surprisingly difficult.
How carbon taxes, storage, and grid upgrades shape electricity costs and emissions, explored through an optimal power flow model that balances physics, policy, and practical optimisation.