After completing my bachelor's in Physics at Imperial College London, I pursued my master's at ETH Zurich in Atmospheric and Climate Science. During these studies I deepened my knowledge of many areas of the climate system and took a particular interest in clouds, aerosols and their interactions, while at the same time discovering and developing an enthusiasm for machine learning. In my master's thesis, I worked on a global climate model, implementing a new parametrisation to improve the representation of stratocumulus clouds.
Can neural networks improve the accuracy of satellite data?
Overcoming the limitations of satellite data using computing systems inspired by the human brain
