Brandon Mossop
  • Home
  • Research
  • Publications
  • Research Notes
  • About
  • CV
Categories
All (4)
Agent-Based Modelling (1)
Bayesian Inference (1)
Causal AI (2)
Causal Discovery (1)
Causal Inference (1)
Code (1)
Machine Learning (1)
Policy Simulation (1)
Research Notes (1)
Simulation (1)
Uncertainty (1)

Research Notes

Notes on my work and other AI related topics in accessible language (sort of a personal blog)
 

Why Causal Structure Can Be More Robust to Distribution Shift

Causal AI
Machine Learning
Code
Research Notes

A small simulation showing how the underlying causal structure can improve robustness when the data distribution changes.

Sep 20, 2026
Brandon Mossop
 

Causal AI Beyond Prediction

Causal AI
Causal Inference

Why useful AI systems increasingly need models of intervention, not only association.

Sep 18, 2026
 

Can Causal Discovery Learn the Rules of an Agent-Based Model?

Agent-Based Modelling
Causal Discovery
Simulation

A research direction for learning probabilistic agent behavior from observational data.

Sep 17, 2026
 

Why Policy Simulation Needs Uncertainty

Bayesian Inference
Policy Simulation
Uncertainty

Policy simulation should report distributions over outcomes, not only a single simulated future.

Sep 16, 2026
No matching items
Back to top

© 2026 Brandon Mossop

 

Built with Quarto