Sample what matters
Modern sampling theory, applied to complex real-world data. We design study frames that draw the slice that actually carries signal - not the slice that is easy to collect.
We help organisations measure what matters. Our work combines proprietary sampling with state-of-the-art AI to turn complex online signals into defensible insight.
Modern sampling theory, applied to complex real-world data. We design study frames that draw the slice that actually carries signal - not the slice that is easy to collect.
Modern information threats rarely live in a single format - they combine text, image, and video. Our methods are built that way too, and we thrive where the signal crosses formats.
From classical estimators to large language models, we select tools that fit the question - and stress-test them before they ship.
Giulio is a Research Associate at the Centre for the Future of Intelligence at the University of Cambridge. His research uses computational methods to study how information ecosystems behave, with a particular focus on the role of AI in shaping online discourse and the spread of misinformation.
His expertise spans AI, data science, and social media research - from recommender systems and large language models to the mechanics of digital communication and trust.
He has previously consulted for organisations including the UK AI Security Institute, the United Nations, and the European Union.
We take on a small number of projects each year. If you have a difficult problem that calls for careful measurement, we'd like to hear about it.
giulio@lunae-research.com