Sarab Sethi

Sarab Sethi is a Lecturer in the Department of Life Sciences at Imperial College London, where he develops computational approaches for biodiversity monitoring through ecoacoustics. His work integrates machine learning, sensor technology, and ecological fieldwork to address conservation challenges, particularly in tropical ecosystems.

His research focuses on advancing soundscape ecology through innovative methodologies including random forest analysis of avian migration patterns, development of low-power acoustic monitoring systems, and standardization of acoustic indices. Key contributions involve demonstrating how soundscapes predict species occurrence in tropical forests and creating open-source tools like the SAFE Acoustics network for real-time ecosystem monitoring.

Recent publications reveal a strong trend toward scalable biodiversity assessment solutions, with increasing emphasis on robotics-assisted surveys, virtual acoustics validation, and robust machine learning models that function effectively under noisy field conditions. His work consistently bridges theoretical ecology with practical conservation applications.

Dr. Sethi actively contributes to scientific discourse through peer review for high-impact journals including Nature, Nature Reviews Biodiversity, and Proceedings of the National Academy of Sciences, demonstrating significant scholarly engagement within the ecological research community.

He leads the development of critical infrastructure for ecoacoustic research, including the Acoustic Index User's Guide and validation frameworks for ecoacoustic metrics, which enable standardized biodiversity assessment across global ecosystems. His fieldwork in Malaysian Borneo provides foundational data for tropical conservation applications.