Marios is a Research Scientist at Nokia Bell Labs (GB/Cambridge), and member of the Social Dynamics Team, led by Dr. Daniele Quercia. He is also a visiting fellow at the Department of Computer Science and Technology, University of Cambridge.
His research interests revolve around mobile-sensing, user modeling, and personalization with the aim of understanding and modeling psychological aspects of human behaviour that are hard to quantify and building technologies that will augment people's interactions and daily habits.
He completed his PhD at University College London (UCL), UK in the intersection of HCI and ML, supervised by Dr. John Dowell. He also holds an MSc in Software Systems Engineering from the same University. In his PhD research, he was interested in understanding users’ interaction behaviour with mobile apps to build personalized interfaces by analyzing mobile sensing data using machine-learning algorithms. Taking the news as a rich application domain, he developed Habito News, which is an adaptive news app that automatically adjusts its interface in response to user’s news reading behaviour. During his PhD, he completed a Research Internship at Telefonica Alpha in Barcelona, Spain where he worked with mobile-sensing and network data to build mood prediction models for bipolar disorder. He draws on interdisciplinary skills including human-computer interaction, data science and software engineering.