Pedro Braga

Postdoctoral Researcher at McGill University

Montreal, Quebec, Canada
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Summary

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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.
code9 years of coding experience
job1 year of employment as a software developer
bookDoctor of Philosophy - PhD, Biology/Biological Sciences, General, Doctor of Philosophy - PhD, Biology/Biological Sciences, General at Concordia University
bookMaster of Science (MSc), Ecology and Evolutionary Biology, Master of Science (MSc), Ecology and Evolutionary Biology at Universidade Federal de Goiás
languagesEnglish, French, Japanese, Portuguese
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Github Skills (82)

ecology10
cffi10
spss10
reproducible-science10
dtw10
linear-models10
mixed-models10
breakout10
statsmodels10
open-science10
r-package10
open-data10
evolution10
biodiversity10
documentation10

Programming languages (9)

JavaRCSSC++CTeXJavaScriptHTML

Github contributions (5)

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QCBSRworkshops/workshop08

Dec 2018 - Oct 2022

Workshop 8 - Generalized additive models (GAMs)
Contributions:91 commits, 8 PRs, 165 pushes in 3 years 10 months
workshopadditive-modelsmachine-learninggamsadditive
QCBSRworkshops/workshop10

Dec 2018 - Oct 2022

Workshop 10 - Advanced multivariate analyses
Contributions:121 commits, 177 pushes, 6 branches in 3 years 10 months
workshopdata-scienceanalysesmultivariate-analysesmachine-learning
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