I am PhD student in Computer Science at TUDelft advised by Prof. Justin Dauwels and Prof. Geert Leus. I’m currently working on Generative Models for video prediction and model based RL downstream tasks. I have practical experience in: - Object-Centric Representation Learning, Unsupervised Representation Learning, Deep Information Theory, Disentanglement Learning - Generative Modelling: VAEs, GANs, Diffusion Models, Autoregressive Transformers, Spatio-Temporal generative models (I.e, ConvLSTM, VQVAE+TransformerXL, etc.), Modular Neural Networks (I.e., Neural Production Systems, Recurrent Independent Mechanisms). - Model-based Reinforcement Learning: Multi Agent RL, PPO-based models, Recurrent State Space Models (RSSMs, such as Dreamer), Transformer-based world models (I.e., IRIS, Transdreamer), Hierarchical models (I.e., Director). I’m currently working on: 1) Object-Centric World Models 2) Event-based Hierarchical World Models 3) Video prediction generative models for Precipitation Nowcasting downstream task. If interested, contact me at c.meo@tudelft.nl. I currently have open master thesis positions.