Shagun Garg is an EPSRC-funded PhD researcher at the University of Cambridge, working at the intersection of satellite Earth observation, artificial intelligence and sustainable water management. His research focuses on improving how we map and monitor Earth's water resources, particularly small lakes and ponds that are often overlooked despite their importance for water security, ecosystems and climate resilience.

His work combines multi-sensor satellite observations with machine learning and emerging geospatial foundation models to develop scalable approaches for mapping and monitoring surface water, including floods in arid regions. His research has been published in leading scientific journals, including Remote Sensing of Environment and Scientific Reports.

Shagun's academic and research experience spans India, Germany, the United Kingdom and the United States. He graduated from the Indian Institute of Technology Bombay, undertook research at Leibniz University Hannover through a DAAD scholarship, and worked at the GFZ German Research Centre for Geosciences.  His contributions have received international recognition. He was named among the Geospatial World 50 Rising Stars of 2025, selected as a finalist for the Allianz Climate Risk Award 2025, and received the Outstanding Presentation Award at IEEE MIGARS 2023.

Shagun long-term ambition is to help translate scientific advances into more informed decisions about water security, floods and droughts.