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Peter van Lunteren, Founder of Addax Data Science

How would I describe myself? I’m an optimistic, methodical, results-oriented, tech-savvy ecologist with a passion for developing data-driven solutions that improve the quality of ecological research. In addition to founding Addax, I have worked for several conservation initiatives over the past eight years and currently serve with two: Smart Parks, which conserves endangered wildlife through cutting-edge technologies, and Inclusion Foundation, which provides a basic income to village communities in Uganda.

I’ve also created the open-source AI platform EcoAssist, which enables annotation, training, and deployment of custom models for automated species detection. The goal is for ecologists to be able to focus more of their time on conservation efforts and less time reviewing camera trap images. My hope is that EcoAssist will make a significant contribution to open sourcing, open access, and open science.

See my LinkedIN and ResearchGate for more information about me and my GitHub for information on my software projects.


  • Wenting, E., Jansen, P. A., Pattipeilohy, L., van Lunteren, P., Siepel, H., & van Langevelde, F. (2024). Influence of tree cover on carcass detection and consumption by facultative vertebrate scavengers. Ecology and Evolution, 14(4), e10935. [link]
  • van Lunteren, P. (2023). EcoAssist: A no-code platform to train and deploy custom YOLOv5 object detection models. Journal of Open Source Software, 8(88), 5581. [link]
  • van Lunteren, P. (2023). Train and deploy custom object detection models without a single line of code. Towards Artificial Intelligence. [blog post]. [link]
  • van Lunteren, P., Hoefsloot, G., Brandjes, J., & Littooij, L. (2022). Vleermuisroutes onderzoeken op de automatische piloot. De Levende Natuur, 4(1), 125. [link]
  • van Lunteren, P., Groenewold, M. A., Pozsgai, G., & Sarvary, J. (2021). Does voluntary wheel running exist in Neotropical wild mammals? Acta Ethologica, 24(1), 23-30. [link]