Dimitris holds a PhD in Computer Science from the University of Cambridge, working with Prof. Cecilia Mascolo.

His work enables deep neural networks to learn richer semantics of high-dimensional real-world data (mobile sensors, time-series, audio, or other modalities), through self-supervision and transfer learning, motivated by challenges in health. His research has been published in top-tier artificial intelligence (NeurIPS, KDD), medical (Nature Digital Medicine), and domain-specific venues (ICASSP, Interspeech, Ubicomp), among others.

During his studies, he worked in high-profile R&D teams including Microsoft Research, Telefonica Research, Ocado, as well as growing startups and research labs. Further, he is a core member of the audio-AI study covid-19-sounds.org which builds predictive models for COVID-19 through smartphone respiratory recordings (covered by BBC, The Guardian, Forbes, The Times, Slate, NPR etc).

His career goals are to solve real problems and make AI more robust, humane, and useful.

website → http://www.cl.cam.ac.uk/~ds806/