I am a third year PhD student at the Department of Computer Science & Technology, University of Cambridge advised by Prof. Cecilia Mascolo. I hold a Diploma in Electrical & Computer Engineering (with specialization in Computer Science, Systems & Control Theory) from the National Technical University of Athens and an MSc in Machine Learning from University College London. Prior to moving to Cambridge, I spent a year in the industry working as data scientist and quantitative analyst. My research is funded by the Bell Labs and I am member of Darwin College.
Over the years I've been interested in diverse research directions related to the notion of stability, with sojourns in control and network theory. Progressively I've focused more on data-driven approaches and applications arising in machine learning. In particular, I'm quite interested in differentially private and robust learning, which both relate to how much the output of a learning procedure is sensitive to perturbations in its input space. Moreover, I'm interested in learning from data-dependent compressions, i.e. scalable summaries of big data that can approximate the properties of the full dataset with regards to a problem of interest. Currently, my research is primarily targeting applications in mobile systems and sensing.
I spent summer 2018 at the Networks Learning group, Max Planck Institute for Software Systems working on multidimensional temporal point processes, while during summer 2017 interned at Nokia Bell Labs, Cambridge .