Emmarius Delar

About Me

My research lies at the intersection of Reinforcement Learning, Monte Carlo methods, and Combinatorial Optimisation on graphs. Concretely, I develop MCTS-based algorithms to tackle complex graph-structured problems such as Virtual Network Embedding, Boolean models for Gene Regulatory Networks, Graph reconstruction, and Intelligent mesh generation. I am particularly interested in multi-objective RL-based algorithms, and lazy-evaluation strategies that reduce simulation cost without sacrificing performance.

In 2025, I graduated with a Master's degree in Applied Mathematics and Computer Science at PSL Research University. Prior to that, I completed a Bachelor's degree in Applied Mathematics and Computer Science at the University of Rennes.

Outside academia, I am a huge fan of sport — football above all. I follow several leagues but Real Madrid will always be my club, through thick and thin. Growing up as the youngest in a large family, I inherited a wide range of interests from my siblings: cooking, gardening, electronics, tinkering, music, and the occasional video game rabbit hole.

I am always happy to connect with fellow researchers — whether your work overlaps with mine or you are simply navigating the early days of a PhD. Feel free to reach out by email or LinkedIn.