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EGU Award Ceremony (Credit: EGU/Foto Pfluegl)

Division Outstanding Early Career Scientist Awards 2024 Anirudh Prabhu

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European Geosciences Union

Anirudh Prabhu

Anirudh Prabhu
Anirudh Prabhu

ESSI Earth and Space Science Informatics

The 2024 Division Outstanding Early Career Scientist Award is awarded to Anirudh Prabhu for his outstanding contributions to the fields of Earth and planetary informatics, data science, astrobiology, and geosciences at large.

Anhirud Prabhu is a trailblazer in the field of mineral informatics, reshaping the landscape of Earth and planetary science. His groundbreaking research has revolutionised our understanding of mineralogy, astrobiology, palaeontology, geobiology, and the philosophy of science. By bridging multiple scientific disciplines, he tackles complex questions and delivers innovative insights.

Prabhu has made remarkable contributions in the development and application of informatics methods, particularly in dealing with small, sparse, and heterogeneous datasets prevalent in Earth and planetary science. His expertise in machine learning and data analysis has led him to discover patterns and create valuable knowledge, greatly enhancing our understanding of complex systems.

Prabhu’s research achievements span diverse domains, including biosignature characterisation, planetary mineralogy, planetary atmospheres, exoplanetary observation, and the prediction of new mineral localities. His work has implications for life beyond Earth, resource exploration, and understanding of Mars’ geological history and potential habitability.

Furthermore, his discoveries in the palaeontological record have shed light on previously unknown mass extinction events, revealing insights into Earth’s evolutionary past and its impact on life.

The EGU Earth and Space Science Informatics (ESSI) Division Outstanding Early Career Scientist Award is given to Anirudh Prabhu for his remarkable achievements, scientific excellence, innovative research, and significant contributions to the ESSI community, including his exceptional research accomplishments, demonstrated leadership, commitment to collaboration and knowledge sharing, passion for advancing data-driven research, and ability to bridge gaps between scientific disciplines.