Youssef is a Ph.D. candidate at the Operations Research Center at MIT. His research focuses on bridging the gap between the theoretical foundations of Markov random fields (also known as Graphical Models) and the Gibbs distribution in statistical mechanics, and their modern applications in decision-making, multi-agent reinforcement learning, and network inference. He is broadly interested in discrete probability, random structures, algorithms, and combinatorial optimization.