I've decided to start writing here — partly to share things I wish someone had written down when I was figuring them out, and partly because explaining something in plain words is still the best test of whether I actually understand it.
What to expect
- Tutorials on graph-based time series forecasting, from building graph structures out of raw sensor or demand data to training and interpreting the models.
- Agent-based modelling notes — designing simulations of economic and environmental systems, and making them fast in Python.
- Explainable AI in practice: what actually helps when you need to justify a forecast to a decision-maker.
- Occasional notes from the PhD trenches — tooling, writing, and the craft of research itself.
If any of this sounds useful, check back soon — or reach out via the links on my homepage. I'm always happy to talk about forecasting, simulation, or supply chains.