Signal & Structure

Lorenzo Ognibeni — Research Fellow, CNR ISTC

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.

Bayesian inference, regime dynamics and systemic instability.

Contrastive learning and geometric structure of neural systems.

Causal inference and structural modeling of complex institutions.

Contrastive manifold learning for neural population activity.

Representation learning and neural decoding.

Probabilistic modeling of financial instability.

State-space models for statistical arbitrage.

Structural models of institutional systems.

Causal inference for economic and policy systems.