A little bit about me: I am a machine learning scientist working at Facebook.

In October 2020 I submitted my PhD dissertation at the Department of Computer Science & Technology of the University of Cambridge. The primary focus of my doctoral research has been on developing data summarization methods for scalable, differentially private and statistically robust Bayesian inference on massive datasets.

I was born in Athens, Greece. 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. Over summer 2018 I interned at the Networks Learning group, Max Planck Institute, while during summer 2017 interned at Nokia Bell Labs, Cambridge .

My research interests encompass large-scale machine learning (primarily Bayesian inference), data-efficient learning (active learning, Bayesian optimization), dynamical systems and differential privacy.