Hi!

I am a space physicist specialising in statistical data assimilation. I am motivated by the challenge of understanding and predicting the intricate dynamics of the Earth’s upper atmosphere in response to space weather. For my PhD, I focused on physics-based modelling and forecasting of the thermosphere-ionosphere system in order to improve space weather predictions. I combine fundamental physics with advanced computational modelling and machine learning, as well as supercomputing, to transform complex datasets into actionable insights for real-world challenges. I am committed to open science and creating robust, FAIR-compliant data products and software tools that empower the global scientific community to explore these critical geophysical systems.

Research Interests

I’m passionate about data science. My research focuses on developing data-intensive systems for understanding and forecasting complex physical environments. I develop scalable machine learning models and data assimilation techniques to extract insights from large, multi-source geoscientific datasets. My work encompasses the entire data lifecycle, from designing high-performance ETL pipelines for terabyte-scale simulations, to applying physics-informed AI and Bayesian methods for predictive modelling. I am particularly interested in creating new data products, as well as open-source tools that can translate computational advances into actionable intelligence to address scientific and societal challenges.

My work focuses on:

• , , data assimilation for ionosphere-thermosphere;
• ;
• Developing high-resolution climate simulations, such as OTHITACS;
• Remote sensing and modelling of Earth and space environments;
• Leveraging AI/ML and GPU computing to improve the accuracy of space weather modelling and forecasting.

As an NFDI4Earth Academy Fellow, I actively promote open science and robust research data management. I’m experienced in interdisciplinary research and have collaborated with a wide range of specialists, including space physicists, atmospheric scientists, aerospace engineers, applied mathematicians and statisticians.