Nikolaos Nakis

I am a postdoctoral researcher at the Yale Institute for Network Science, working in the Human Nature Lab. My research develops principled, interpretable models of complex networks — drawing on latent variable models, archetypal analysis, and modern graph representation learning.

I am especially interested in self-explainable models that recover meaningful structure from raw network data: communities, roles, polarization, and the latent geometry that organizes them. These tools speak directly to questions in computational social science, network polarization, and biological network analysis.