List by Author: Rachel Thomas

A short introduction to the work of James Maynard
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Maynard went from a fascination with numbers as a young child to making spectacular contributions to number theory that have earned him a Fields Medal.
The Fields Medals 2022: Hugo Duminil-Copin
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Hugo Duminil-Copin has been awarded a Fields Medal for solving longstanding problems in statistical physics. He told us about how his work brings together his two loves – maths and physics.
The Abacus Medal 2022: Mark Braverman
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Mark Braverman has won the Abacus Medal for developing the theory of information complexity. He told us about the role of communication in computation, and why a mathematical view can help you understand how to solve problems while sharing as little information as possible.
The Fields Medals 2022: James Maynard
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James Maynard has won a field medal for his work in number theory. He told us how he went from a fascination with numbers as a young child to making spectacular contributions to number theory.
Can maths help improve the communities of the future?
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Now it's the turn of mathematicians to help to improve the communities of the future.
The calculus of the complex
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Calculus has long been key to describing the world. Now fractional calculus is providing new ways of describing complex systems.
How maths can help you get ahead of the S-curve
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The maths behind the S-curves that allow us to tell if a new variant is on the rise.
Logistic growth: The mathematics of COVID variants
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How to tell quickly if a new variant is on the rise.
Why the generation time of COVID-19 is important
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To work out the famous R number you need to know the time between infections.
Understanding the generation time for COVID-19
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How long does it take for one person to infect another?
Black Heroes of Mathematics 2021
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This inspiring conference featured speakers from Africa, the US, the Caribbean and the UK. Here are some highlights.
Opening the black box
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The organisers of a new INI programme explain why we need to know more about the maths behind machine learning and deep neural networks.