MSc C. Meo

PhD thesis (Feb 2026): World Models: Foundations, Applications, and Limitations
Promotor: Justin Dauwels, Geert Leus

Expertise: Machine learning

Cristian Meo was a PhD student at SPS under supervision of Justin Dauwels and Geert Leus, and received his PhD degree (cum laude) in Feb 2026. In his research, he investigated how different inductive biases affect neural networks generalization and reasoning capabilities. 

In particular, he studied how inter and intra class factors of variations can be disentangled within the modular networks framework. In other words, looking at both object centric and attribute level disentanglement.  In order to do that, he studies how a network's capacity is linked to disentanglement using information-theoretic constructs.

After his PhD, Cristian created a startup LatentWorlds AI.

Last updated: 13 Feb 2026