Conference Room


Interesting data science talks a listed on the right-hand panel of this webpage.

To add a talk to the list, or to request inclusion of an external event, please contact

Forthcoming Events

This page lists C2D3 events, University events, as well as related external conferences and events of interest to our members. Cambridge events are also available via

C2D3 event
Tuesday, 25 February 2020, 10.00am to 1.30pm

Bayesian hierarchical modelling (BHM) is one of the most powerful modern statistical techniques. It provides a unifying framework for dealing with a diversity of sources of complexity arising from the structure (e.g. dependence) of the data and its associated measurement process. Hierarchical model building strategy involves defining latent unobserved quantities of interest which are organised into a number of levels with distinct interpretations and building probabilistic between the latent quantities and the data.

External event
Tuesday, 24 March 2020, 9.00am to Wednesday, 25 March 2020, 3.30pm

For the first time a dynamic, two-day showcase will see the Turing bring together all three of these goals in an unrivalled showcase featuring the very best of UK academic work in AI and machine learning (ML).

AI UK will convene leading thinkers, innovative businesses and specialist third-sector bodies, to:

C2D3 event
Wednesday, 22 April 2020, 9.00am to 6.10pm

Symposium 2020

During this one-day symposium, leading Cambridge academics will showcase their latest research alongside lightning talks from early career researchers. Invited industry leaders from innovative businesses will being joining us to discuss the use of advanced data science methodologies in real-world applied applications. Talks and discussions will come from across the academic Schools and a variety of industry sectors, delivered at an accessible scientific level; delegates are welcomed from all backgrounds.


University of Cambridge event
Wednesday, 20 May 2020, 9.30am to 8.00pm

AI and machine learning are revolutionising the entire healthcare and life science sector. Healthcare currently benefits from AI technology in various aspects including clinical, laboratory and operational areas to reduce costs and to improve patient outcomes and access to care. From harnessing mass pools of data, to drug discovery, medical analytics, clinical trials and diagnostic decision making, AI and machine learning will continue to transform this industry in ways which we are yet to discover.