Emma Ford

Emma Ford is a Stipendiary Lecturer in Geography at St Peter's College, University of Oxford. Her work focuses on integrating machine learning and explainable AI into hydrological and climatological research. She investigates challenges and opportunities in predicting hydrometeorological extremes, flood magnitudes, and large-sample environmental modeling. Her recent publications explore machine learning applications for climate attribution, extreme event forecasting, and transparent algorithm design in hydrology.

Research interests include environmental data analysis, climate modeling, and the development of scalable machine learning frameworks for hydrological systems. While no specific grants or advising roles are detailed, her contributions highlight advancements in linking AI methodologies with environmental science.

Labs or collaborative teams are not explicitly mentioned in the provided materials.