Areas of expertise: Large scale (ENSO, AMO) Climate Dynamics and Variability,ML for climate prediction,Extreme Events, Mountain Meteorology, Exploratory Data Analysis.

In my joint role at the National Centre for Atmospheric Science (NCAS) and the University of St Andrews, I lead the newly established research group, NCAS St Andrews. The mission of the group is to leverage physics-informed machine learning to advance the understanding of climate systems, their connections to weather patterns, and the dynamics of climate change from fundamental science to impacts.

In NCAS I am currently the the Digital Atmosphere Programme Leader and in this role I lead the research strategy for the NCAS  newest programme linked to digital technology. Previously to joining St Andrews I worked for the University of Leeds, the University of Oxford and the University of Edinburgh. My background is in mathematics after which I pursued a Climate Dynamics Ph.D. (George Mason University in the US). I have extensive international experience and throughout my career, I worked for and, collaborated with various organizations such as the University of Leeds, University of Edinburgh, University of Oxford, University of Trento (Italy), the National Centre for Atmospheric Research (USA), George Mason University (USA), the University of Barcelona (Spain) or the National Meteorological Administration (Romania).