Lukas is an AI researcher who aims to create autonomous agents that can efficiently learn to solve complex decision-making tasks in the real world.

Ghada is a research scientist developing efficient methods for model adaptation and continuous learning under non-stationary conditions. Her current research interests are continual learning, model merging, sparsity, and reinforcement learning.

Gaspard's research focuses on RL in POMDPs, with an interest in sequence modeling, representation learning, world models, asymmetric learning, and generalization. 

Shihan's primary interest balances theoretical development and practical application, with an emphasis on developing efficient, scalable, and reliable artificial intelligence approaches to solve real-world data-driven problems.