Anne Skeldon speaks at Newton Institute workshop on computation, modelling, and statistical analysis of brain signals

Anne Skeldon was at the Isaac Newton Institute for Mathematical Sciences this week (1-4 December) to attend and speak at a Scoping Meeting on “Computation, modelling, and statistical analysis of physiological and clinical brain signals for real-time classification and prediction“. (Workshop website here.) This scoping meeting brought together a multidisciplinary community of mathematicians, statisticians, computational neuroscientists, and clinicians to collaboratively define the future of quantitative brain and physiological signal analysis. The focus was on creating robust computational and statistical frameworks capable of processing physiological and clinical brain data in real time, with an emphasis on predictive accuracy and clinical interpretation. Anne gave a talk on Thursday on “Interventions for Sleep and Circadian Rhythms in Close to Real Time: Opportunities and Challenges“. This talk summarised a range of research of Anne‘s include joint work with the Surrey Sleep Research Centre. The image below is from the workshop website.