Ana Marza

PhD Student

​Ana Marza is a PhD student at the Energy Weather & AI Lab, part of the School of Engineering and Computer Science at the Bern University of Applied Sciences. She is also a member of the Atmospheric Processes group at the Institute of Earth Surface Dynamics, Faculty of Geosciences and Environment, University of Lausanne. Ana is supervised by Angela Meyer as principal investigator and Daniela Domeisen as project partner.

Ana obtained her BA and MSci degrees from the University of Cambridge, UK. With a broad Earth Sciences background and a passion for automation, in her Master's thesis she used machine learning to classify ocean basins into regions of coherent evolution in terms of their radiocarbon content over the last deglaciation.

Her current research focuses on the predictability of subseasonal weather, using decision trees to predict the skill of numerical weather forecasts for the weeks ahead. In this way she aims to determine the initial conditions, in the atmosphere and ocean, that can lead to high- or low-accuracy forecasts over Europe, with implications for renewable energy planning.