My research interest lies in the span of geometry and machine learning. In particular, I develop machine learning methods that respect the unknown underlying geometric structure of the data. Currently, my research is focused on latent variable models, generative models, representation learning and approximate inference.

Personal website: https://georgiosarvanitidis.github.io