Climate AI Nordics

Climate AI Nordics

Nordic network for collaborations around tackling climate change using AI and machine learning. NGO registered in Sweden.

Featured member, October 2026: Mélisande Teng


Hi Mélisande! Could you tell us a bit about yourself and your work?

I joined the University of Copenhagen and the Pioneer Centre for AI as a postdoctoral researcher this summer, after completing my PhD at Mila-Québec AI Institute and Université de Montréal. My research focuses on applications of machine learning for biodiversity monitoring, in particular species distribution modeling, forest monitoring with remote sensing and bioacoustics, the study of animal sounds. I am currently working on developing methods to better identify individuals of marine mammals and birds in audio recordings (making models more robust to different noise conditions, identifying new individuals, defining metrics aligned with impact in practice). I am also interested in understanding what biodiversity foundation models encode in terms of ecological knowledge, so that we can develop best practices and understand better their limitations for applications in ecology.

What kinds of research opportunities or collaborations are you excited to be part of in the future?

I am excited to be in Copenhagen, right where the Global Biodiversity Information Facility (GBIF) is! I am always curious to learn more about what biological questions and challenges ecologists face AI could help with. I look forward to collaborating within the Nordics and develop computational tools for ecology closely with end users and building community at the intersection of AI and biodiversity. I also look forward to learn more about arctic biodiversity.

Is there anything else you would like to share with the Climate AI Nordics network?

I am currently proposing projects in bioacoustics (related to improving automated annotation of syllables in bioacoustics recordings and integrating ecological knowledge into the design of species classification models) for Bachelor’s or Master’s thesis projects. I am also open to discuss other projects with students looking to complete their thesis on topics at the intersection of AI and remote sensing and ecology. Feel free to reach out to me!

What is the best way for people to get in touch with you?

You can reach out to me by email at melisande.teng@di.ku.dk or on the Climate AI Nordics Slack space.

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