Uncertainty quantification in AI, explainable AI, Big Data astrophysical surveys

My research interests are primarily focused on uncertainty and explainability for AI used in astrophysical and space science contexts. My research prior to Strathclyde involved applications of uncertainty in AI models for robust classification and anomaly detection in large astrophysical surveys; now, I'm making use of the same principles for space sustainability and safety.