Garo Kerdelian is a Physics PhD student working with Professor Albert-László Barabási in the Center for Complex Networks Research (CCNR). He is interested in the intersection of statistical physics, graph theory, and complex systems and is passionate about leveraging academic research to solve real-world problems. His current research focuses on Network Medicine and the human interactome.

Prior to joining NetSI, Garo graduated with a Bachelor of Science in Physics with high honors and distinction from the American University of Beirut, where he completed research projects on network renormalization, diffusion, and hyperbolic embeddings.

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