Jenny Mitchell talks about the past, present and future roles of stochastic analysis in science - from the space race to climate change - with Professor Dan Crisan from the Department of Mathematics

Predicting the future with stochastic analysis

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Professor David Hand, Emeritus Professor of Mathematics at Imperial College London, speaks on the subject of his book, The Improbability Principle,  about why incredibly unlikely things keep happening.

Data Science Insights - The Improbability Principle

Professor Rama Cont discusses how mathematical modelling can provide insights on systemic risk, financial regulation and financial stability.

Systemic risk: a challenge for mathematical modelling

Professor Damiano Brigo (Mathematics) answers the question: What is randomness, and how can we measure and model it with probability? In this his inaugural lecture.

Randomness, dynamics and risk

What links gas molecules, charged particles, bacteria and fish? Hear how partial differential equations help us understand their collective behaviour.

Partial differential equations: A journey from micro to macro

Professor Eric Yeatman of Imperial College looks ahead 20 years to how micro technologies can increase the intelligence of systems in digital economies.

Predicting the future with stochastic analysis

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