The research group "Understanding Solar and Stellar Flares with Machine Learning" is led by Prof. Dr. Lucia Kleint and is part of the department of computer science of the University of Geneva. Funded by a PRIMA grant from the Swiss National Science Foundation, our goal is to develop and use modern machine learning techniques to efficiently analyze astronomical data. In particular, we aim to investigate the physics of flares, which are the most powerful eruptions in our solar system.

Our main research questions are

• When and where will a flare occur?
• How is flare energy dissipated?
• What are the origins and mechanisms of stellar “superflares”, which are thousands of times more powerful than the strongest recorded solar flares?