‘We are not students of some subject matter, but students of problems. And problems may cut right across the borders of any subject matter or discipline.’ - Karl Popper


I am an interdisciplinary researcher working at the intersection of Data Science, Quantitative Ecology and Wildlife Sciences. In my research, I utilize Computer Vision and AI tools to investigate bio-inspired intelligence and collective animal behaviour.

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 For my PhD, I studied the “Escape behaviour of fission-fusion animal groups in the wild”. Since then I have been involved in projects spanning collective animal behaviour, prey-predator dynamics and mating ecology. In these studies, I developed interdisciplinary research frameworks embedded in ecological theory by leveraging and transforming the recent advances in aerial videography and deep learning algorithms. These projects also enabled me to create long-term collaborations and draw attention towards rare & and under-explored study systems in India on international platforms.
 

Going further I am interested in translating AI & Data Science tools to study Ecology & Wildlife.