A multidisciplinary team spanning field ecology, toxinology, computational biology, and machine learning.
An evolutionary biologist and founder building at the intersection of biodiversity, deep science, and drug discovery. His research group studies animal venoms and develops innovative treatments for snakebite, including monoclonal antibodies and small-molecule therapeutics.
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An AI expert and technology leader building at the intersection of computation and drug discovery. He leads the development of advanced machine learning platforms that analyse complex biological data, enabling the identification and optimisation of novel therapeutic candidates.
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Focuses on molecular dynamics simulations and integrating structural biology with deep learning models to predict peptide-target binding affinities.
Leads the high-throughput screening initiatives, overseeing mass spectrometry workflows and in vitro bioassays across neglected venomous species.
Coordinates pan-India ecological expeditions, ensuring ethical collection, documentation, and biopreservation of venom samples.