Simona Picardi

Assistant Professor at University of Idaho

Moscow, Idaho, United States
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Summary

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Senior
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Top School
Simona Picardi is an Assistant Professor and quantitative ecologist with eight years of experience translating animal movement data into conservation and management insights. She combines expertise in GPS-based spatial analyses, remote sensing, and geospatial databases (R, SQL, PostGIS) to study diverse taxa—from alpine ungulates to Mediterranean seabirds—across terrestrial and aquatic systems. Simona is the author of two R packages, nestR and fidelity, that automate detection of avian breeding attempts and simulate revisitation under mechanistic movement models, reflecting a commitment to reproducible, open science. As a certified Carpentries instructor and graduate course instructor in Reproducible Data Science, she trains ecologists to bridge field biology and computational workflows. Based in Moscow, Idaho, her interdisciplinary background and international training (Italy and the US) enable cross-system comparisons and novel applications of movement theory to real-world management problems.
code8 years of coding experience
job1 year of employment as a software developer
bookIstituto Agrario di San Michele all'Adige
bookMaster's degree, Ecology, 110/110 with honors, Master's degree, Ecology, 110/110 with honors at Sapienza Università di Roma
bookDoctor of Philosophy - PhD, Wildlife Ecology and Conservation, Doctor of Philosophy - PhD, Wildlife Ecology and Conservation at University of Florida
languagesItalian, English
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Github Skills (13)

kubernetes10
python10
ecology9
gps8
data-wrangling8
r8
stable8
data-visualisation7
visualization6
data-visualization6
r-package5
data-analysis4
hugo1

Programming languages (5)

RCJavaScriptHTMLPython

Github contributions (5)

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picardis/nestR

Jan 2019 - Jun 2020

Package nestR for locating nests and estimating bird reproductive outcome from GPS data
Contributions:64 commits, 1 PR, 36 pushes in 1 year 5 months
gps
picardis/fidelity

Nov 2021 - Dec 2022

R package 'fidelity' to estimate null expectations for animal site fidelity using simulated movement tracks
Contributions:25 pushes, 1 branch in 1 year
rr-package
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