Emma Hannula

About the person

In my PhD thesis I am working on probabilistic machine learning methods and the quantification of uncertainty. My work focuses specifically on the application of Bayesian neural networks for the prediction of indoor building temperatures as a means to improve the interpretability of the predictions compared to other machine learning methods.