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Centre for Data Science

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Centre for Data Science

Developing new theory and algorithms, to make sense of novel data

The UCL Centre for Data Science is a UCL-wide research and innovation initiative. We develop new mathematical and statistical theory, and quantitative and computational methods, to help make sense of large, complex data sets. Our work is helping to shape the emerging field of data science, and has application in a wide variety of scientific disciplines. 

Our researchers collaborate with several university, industrial, commercial and governmental partners, in the UK and internationally. Our major activities include academic and industry-focussed research, data science executive education, expert consultancy, and scientific workshops and conferences.

We also contribute actively to the public conversation around data science, and the opportunities and challenges it presents.

Research

Research

With increasing volumes of data being generated and processed by scientists, governments and the public, methods for acquisition, computation, analysis, storage, and retrieval must evolve to keep pace.

Latest News:

 

Symposium – Computational Statistics and Machine Learning in the Sciences 

 

The UCL Centre for Data Science is organizing a one-day symposium on computational statistics and machine learning (CSML) on the 5th December 2024. The symposium will be held at De Morgan House in the London Mathematical Society. 

UCL has a very wide breadth of research in CSML spread across most of its faculties. This symposium aims to bring these researchers together to discuss recent advances in terms of novel algorithms, theory or applications in the sciences and engineering.

Confirmed speakers include Sam Livingstone (Statistical Science) Harita Dellaporta (soon-to-be Statistical Science), Jason McEwen (Mullard Space Science Laboratory), Marta Betcke (Computer Science), Ziheng Yang (Genetics, Evolution and Environment) and Niall Jeffrey (Physics & Astronomy).

The symposium will start at 1.30pm with a series of invited talks, and will conclude from 6-7pm with a reception allowing attendees from all across UCL to get to know one another.

The programme of the day is as follows:

13.30-13.45: Welcome

13.45-14.20: Harita Dellaporta ('Model-based Distributionally Robust Optimisation: Bayesian Ambiguity Sets and Model Misspecification')

14.20-14.55: Jason McEwen ('Bayesian model selection in the era of AI')

14:55-15.15: Break

15.15-15.50: Ziheng Yang ('Expensive MCMC algorithms in comparative genomics')

15.50-16.25: Niall Jeffrey ('Decoding dark energy with simulation-based inference using gravitational lensing data')

16:25-16.45: Break

16.45-17.20: Marta Betcke ('Learned Stochastic Primal Dual method with applications in subsampled and low dose CT')

17.20-17.55: Sam Livingstone ('Non-reversible MCMC with applications to health data science')

17:55-19:00: Reception