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Events and Talks

 

In AI, Machine Learning and Data Science across the University and beyond.

Events

Financial Times_Kate Sargent
C2D3 event Talk In person

Beyond Academia - Financial Times, Chief Data Officer

27 Oct 2026

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Uni of Cambridge Conference Online

CCAIM Machine Learning for Healthcare Summer School 2026

7 Sep 2026 - 11 Sep 2026

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Uni of Cambridge Workshop In person

Cambridge Social Data School September 2026 : Investigating AI Infrastructure

7 Sep 2026 - 11 Sep 2026

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External Conference In person

The Fourth UK AI Conference 2026

29 Sep 2026 - 30 Sep 2026

Talks

Upcoming related talks from talks@cam

Date Title Speaker Abstract
Statistics Clinic Summer 2026 II

This free event is open only to members of the University of Cambridge (and affiliated institutes). Please be aware that we are unable to offer consultations outside clinic hours.


If you would like to participate, please sign up as we will not be able to offer a consultation otherwise. Please sign up through the following link: https://forms.gle/YxfR9eZFd2oD7C886. Sign-up is possible from July 30 midday (12pm) until August 3 midday or until we reach full capacity, whichever is earlier. If you successfully signed up, we will confirm your appointment by August 5 midday.
Package Managers à la Carte: A Formal Model of Dependency Resolution Ryan Gibb, University of Cambridge

Abstract:
Statistics Clinic Summer 2026 III

This free event is open only to members of the University of Cambridge (and affiliated institutes). Please be aware that we are unable to offer consultations outside clinic hours.


GSA Capital: Title to be confirmed Speaker to be confirmed

Abstract to be confirmed

Some catering will be provided
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Some catering will be provided
BSU Seminar: "Using variability in longitudinally-measured variables as a predictor of health outcomes" Professor Michael Elliott, University of Michigan School of Public Health

Longitudinal data has become a major part of the landscape for clinical and epidemiological research. While variance is typically understood as nuisance – the “noise” in “signal-to-noise” – there is increasing evidence that underlying variability in subject-level measures over time may also be important in predicting future health outcomes of interest.
Title to be confirmed Speaker to be confirmed

Abstract to be confirmed

Some catering will be provided
Jane Street: Title to be confirmed Speaker to be confirmed

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Abstract to be confirmed

Some catering will be provided
Title to be confirmed Speaker to be confirmed

Abstract to be confirmed

Some catering will be provided
Title to be confirmed Speaker to be confirmed

Abstract to be confirmed

Some catering will be provided
Title to be confirmed Speaker to be confirmed

Abstract to be confirmed

Some catering will be provided
Title to be confirmed Speaker to be confirmed

Abstract to be confirmed

Some catering will be provided
Title to be confirmed Speaker to be confirmed

Abstract to be confirmed

Some catering will be provided
Title to be confirmed Speaker to be confirmed

Abstract to be confirmed

Some catering will be provided
Title to be confirmed Speaker to be confirmed

Abstract to be confirmed

Some catering will be provided