When an individual is admitted to a hospital they are quite often hooked up to a pan plea of monitoring devices all designed to help the doctors and nurses caring for them meet their medical needs. Increasingly hospitals are exploring how machine learning can help them better monitor patient vital signs and that’s a focus of this episode of Stats and Stories with guest Glen Wright Colopy.

Colopy completed his PhD at the Oxford Institute of Biomedical Engineering in 2018. His primary research interests are in probabilistic modeling, time series analysis, and stochastic optimization. He has been doing research in healthcare since 2011, and  Glen's primary machine learning goal is to provide presentations that people can enjoy and learn from. His most recent public project is the "Philosophy of Data Science" series which investigates the role of scientific reasoning in practical data science.