As a postdoctoral researcher I worked under the supervision of Prof. Michael Bronstein, co-advised two PhD students and organized seminars and workshops at the top computer vision and computer graphics conferences. I contributed to one of the very first implementations of deep learning to graphs and manifolds, a field of research that now is known as Geometric Deep Learning, for which I am also a co-inventor in a patent.

In the interim between my Master graduation and the beginning of the PhD I worked as a software engineer at a London based software company developing building attendance systems. I took care of customers and worked on-site to make sure the system was always up and running smoothly.