Lunae Research

Consulting for data‑intensive research and decision‑making.

The information environment is noisy, adversarial, and increasingly synthetic. We make it measurable, combining proprietary sampling with state-of-the-art AI - from narrative tracking to synthetic media detection.

Approach

Rigorous methods for messy, multimodal data.

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.

Natively multimodal

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.

AI‑assisted analysis

From classical machine learning to large language models, we select tools that fit the question - and stress-test them before they ship.

Core team

Who we are.

Dr. Giulio Corsi

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 the behaviour of online communities, 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.

Dr. Alexandru Marcoci

Alex is an Assistant Professor of Global Risk and Resilience at the University of Cambridge. His research focuses on improving the quality of expert group judgments, with a particular focus on national security decision-making.

He has published extensively on expert judgment, collective intelligence, and the governance of emerging technologies, with work appearing in leading journals such as Nature Human Behaviour, the Proceedings of the National Academy of Sciences (PNAS) and Artificial Intelligence. His research spans applications from AI-assisted decision-making to the assessment of global catastrophic risks. He has also led multiple interdisciplinary research projects supported by major funders including UKRI, IARPA, DARPA, the British Academy, and philanthropic foundations. Alex was also a UKRI Policy Fellow in the Department for Science, Innovation and Technology.

Selected research

Work that informs our practice.

How Foundation Models Could Transform Synthetic Media Detection → Evaluating Twitter's algorithmic amplification of low-credibility content → The spread of synthetic media on X → AI Poses Risks to Democratic and Social Systems → Reliable Application of the Post-9/11 and Post-Iraq US Intelligence Tradecraft Standards Requires Collective Analysis → Validating a forced-choice method for eliciting quality-of-reasoning judgments →
Contact

Start a conversation.

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.