Summary
Kiran Dhanjal-adams is a research scientist and machine learning practitioner with eight years’ experience applying computational tools to conservation planning, bird migration and population ecology. Currently a Kew Research Fellow at the Royal Botanic Gardens, Kew, she has developed spatial conservation tools, R and Python packages, and recurrent neural network methods to automate animal call classification across postdoctoral roles in Europe and Australia. Her work blends theoretical modelling, geolocator analysis and practical software development, enabling reproducible workflows for mobile species conservation. Based in the UK, she pairs a PhD in Conservation Biology with an MRes in Computational Biology, and often bridges field ecology with scalable code—an uncommon combination that speeds translation from data-rich studies to conservation action.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.Sc.), Environmental Science (Ecology), Upper Second Class degree with First Class Honours, Bachelor of Science (B.Sc.), Environmental Science (Ecology), Upper Second Class degree with First Class Honours at University of Aberdeen
Doctor of Philosophy (Ph.D.), Conservation Biology, Doctor of Philosophy (Ph.D.), Conservation Biology at The University of Queensland
Master of Research (M.Res), Computational Biology, Pass with Merit, Master of Research (M.Res), Computational Biology, Pass with Merit at University of York
English, French, Spanish, German