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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.

Please follow this link to register for the symposium.

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

 

 

Seminar Series: 

Date	Seminar

 

Previous Events: 

Symposium on Causal Inference 

The UCL Centre for Data Science is organizing a one-day symposium on causal inference on 22 November. The symposium will be held at De Morgan House in the London Mathematical Society.

This symposium aims to bring together different researchers at UCL who work on or are interested in the different aspects of the theory and application of causal inference. It will also include external leaders in the field as keynote speakers, as well as members of the industry that make use of causal models and methods.

The symposium will start at 10:30am with a reception followed by a session on the application of causal inference at UCL. After breaking for lunch, it will reconvene at 2pm for the keynote talk and a second session on causal inference in machine learning. These sessions will be followed by a panel addressing the challenges and opportunities of using causal models. The closing reception will take place at 5:30pm.

The confirmed list of speakers is as follows: Professor Philip Dawid (University of Cambridge), Professor Silvia Chiappa (Google DeepMind and UCL), Professor Neil Davies, Dr Ben Deaner, Professor Karla Diaz-Ordaz, and Professor Arthur Gretton (UCL and Google DeepMind).