I am in the job market! Meanwhile, I keep learning and posting about it on the Blog. Check it out!

I am a former Postdoc Researcher at the Statify team of Inria Grenoble, where I worked with Florence Forbes. My research is related to Deep Reinforcement Learning. I am mostly interested in developing algorithms and techniques for agents to learn from a continuous and non-stationary data stream.

Before I did my Ph.D. at LITIS lab as part of the IoT.H2O project under Prof. Laurent Vercouter’s supervision. My research was focused on enhancing the learning process by using logged data or structuring it through curriculum learning.

The research topics I am interested in include exploiting knowledge from static datasets (learning from demonstrations), transfer learning, distributional RL, multi-armed bandits, meta-learning, and applied RL. Lately, I have been interested in continual learning, multi-agent RL and optimisation.