Modeling Representation, Structure and Risk in Complex Systems
I develop representation learning and probabilistic modeling frameworks to study how complex systems learn, adapt and fail under uncertainty.
I develop representation learning and probabilistic modeling frameworks to study how complex systems learn, adapt and fail under uncertainty.
Bayesian inference, regime dynamics and systemic instability analysis.
Contrastive learning, transformer architectures and geometric analysis.
Quasi-experimental design and structural modeling of geopolitical systems.