Victor Poisot

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About

Victor Poisot is a leading figure in computational ecology, with a primary focus on understanding the structure and dynamics of ecological networks. His research integrates network theory, macroecology, and data science to explore how species interactions—such as predation and mutualism—are organized across space and time. Poisot’s major contributions include developing novel frameworks for predicting species interactions using machine learning and trait-based models, as well as pioneering methods for quantifying the stability and robustness of ecological communities. His work has garnered over 2,000 citations, reflecting its profound impact on the field. Notably, he is the creator of the *rnetcarto* and *bipartite* R packages, widely used tools for network analysis in ecology. Poisot is also a vocal advocate for open science and reproducible research, having co-authored influential papers on data sharing and computational reproducibility. His early work on the Donaxi@HOME service robot, though less cited, showcases his versatility in robotics and artificial intelligence. Today, Poisot’s research continues to shape our understanding of biodiversity and ecosystem function, making him a pivotal voice in modern ecology.