Pedro Braga is a quantitative ecologist and postdoctoral researcher who blends climate science, biodiversity monitoring, and evolutionary history to build reproducible, decision-ready indicators of ecological change. With nine years of experience, he integrates field surveys, bioacoustics, camera traps, LiDAR and satellite imagery into hierarchical, simulation-based and Bayesian models that detect and attribute biodiversity trends across space, time, and phylogeny. Based at McGill’s Quantitative Biodiversity Lab and partnering with Habitat Nature, he develops scalable workflows to monitor biodiversity uplift in reforested agricultural landscapes and align metrics with emerging detection-and-attribution frameworks. Pedro emphasizes open, version-controlled science, mentorship, and translating ecological theory into operational monitoring protocols—often quantifying uncertainty and sensitivity to guide sampling design. Notably, he combines passive sensing and Earth observation at multiple scales to fuse essential biodiversity variables into practical monitoring systems.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Biology/Biological Sciences, General, Doctor of Philosophy - PhD, Biology/Biological Sciences, General at Concordia University
Master of Science (MSc), Ecology and Evolutionary Biology, Master of Science (MSc), Ecology and Evolutionary Biology at Universidade Federal de Goiás
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