My research interests lie in the field of 3D shape analysis and synthesis, with a preference for approaches inspired by geometric intuitions. Recently, my research focussed on merging spectral approaches and machine learning techniques to develop novel algorithms for 3D shape analysis. A notable example includes the first intrinsic extension of the popular Convolutional Neural Networks paradigm to non-Euclidean domains.