Event on Computational Statistics and Machine Learning (CSML) in the Sciences
On Tuesday 5th December, the department co-hosted an event on ‘Computational Statistics and Machine Learning (CSML) in the Sciences’ with around 80 attendees. This took place at the London Mathematical Society, and was co-organised by our departments’ CSML research theme, the UCL Centre for Data Science, and the UCL ELLIS unit, with the organisation led by Dr. François-Xavier Briol and Dr. Kayvan Sadeghi.
The aim of the event was to increase interactions between researchers working on CSML across all departments at UCL. It included a broad range of talks highlighting exciting methodological advances in MCMC, simulation-based inference and robust optimisation, but also applications of CSML methods in genetics, cosmology, and medical imaging.
Speakers included Harita Dellaporta (soon-to-be UCL Statistical Science), Jason McEwen (UCL Mullard Space Science Laboratory), Ziheng Yang (UCL Genetics, Evolution and Environment), Niall Jeffrey (UCL Physics & Astronomy), Marta Betcke (UCL Computer Science), and Sam Livingstone (UCL Statistical Science).
