Andrew Clelland

Andrew Clelland is a postdoctoral researcher in Machine Learning and AI for Wildfire Modelling at Imperial College London's Department of Computing, Faculty of Engineering. He works at the Data Science Institute under Dr. Rossella Arcucci, collaborating with the Leverhulme Centre for Wildfires, Environment and Society.

• PhD in Climate Change and Fire Activity (Boreal Forests), Durham University & British Antarctic Survey
• MSc (Hons), Novosibirsk State University
• BSc (Hons), University of Manchester

His research focuses on 3D wildfire nowcasting using multi-source data fusion (social media, satellite imagery, climate data). He contributes to the DataLearning Group's AI model development for real-time threat prediction to regional authorities and communities.

Andrew's academic journey includes collaborations with Woodwell Climate Research Center and University of Alaska, Fairbanks on the Permafrost Pathways project. His work spans interdisciplinary applications of AI in environmental science and climate-fire dynamics.