Marianne Freiberger

Causal inference is the art of discerning cause and effect from data. Find out more in this introduction.

How do you discern cause and effect when you can't do a controlled experiment? Directed acyclic graphs (DAGs) are a fun and important tool.

Why was the 2025 Atlantic hurricane season different from previous seasons? Early career researcher Charles Powell analysed the data, helping insurance company Inigo in the process.

Infectious diseases in hospitals cost lives and money. How can we best understand them?

Find out how deep learning can help improve the images produced by MRI, CT and PET scans, making patients more comfortable and cutting NHS waiting lists.

This year's Abel Prize has been awarded to the German mathematician Gerd Faltings for work that brings together number theory and geometry to solve equations.

A short explanation of the fundamentals of category theory. 

Category theory, which has previously been described as "abstract nonsense" turns out to be just the language we need to describe materials that may help us build quantum computers. Find out more in this article.

The quantum Hall effect is a curious phenomenon: not only does it make effects from quantum physics visible in the macroscopic world, it also links physics to the pure mathematical area of topology. Find out more in this article.

What does water feeding to ice have to do with symmetry? This article provides an answer and begins to tell the astonishing story of how theory once denounced as "abstract nonsense" may help us build quantum computers.

Gravitational waves have provided a wealth of information about black holes. But could other objects be hiding in this data too? Researchers are exploring this idea, which may also help resolve the mystery of dark matter.

We talk to Krieger about her work, sharing mathematics with wider audiences, and advice for young mathematicians