Peter Pearman
Ikerbasque Researcher at University of the Basque Country
Wettingen, Aargau, Switzerland
Summary
👤
Senior🎓
Top SchoolPeter Pearman is an experienced computational ecologist and Ikerbasque researcher with 25 years post-PhD expertise applying statistical and machine learning methods (R, Python, SAS, SQL) to messy, large-scale ecological and genomic data. He has led grant-funded projects and supervised teams to model species’ climate preferences and predict distributions under future climates, often at global scale using cluster computing. With over 60 peer-reviewed publications and multiple book chapters, he bridges rigorous academic research and practical consulting, producing both concise business CVs and comprehensive academic records. Comfortable collaborating across disciplines and countries, he has a long track record of turning novel analytical approaches into actionable ecological insights, including coordinating population genomics studies and multi-taxa biodiversity monitoring. An underappreciated strength is his ability to translate complex model outputs for diverse stakeholders, born from decades of field leadership and interdisciplinary teaching.
9 years of coding experience
13 years of employment as a software developer
Outdoor Leadership Course: Winter Camping Wind River Range, Outdoor Leadership Course: Winter Camping Wind River Range at NOLSnon-degree, Tropical Biology, non-degree, Tropical Biology at Universidad de Costa RicaDoctor of Philosophy (Ph.D.), Zoology, Doctor of Philosophy (Ph.D.), Zoology at Duke Universitynon-degree, Marine Biology, non-degree, Marine Biology at Cornell UniversityBachelor's degree, Environmental, Population, and Organismal Biology, 4-year course Grade Point Average: 3.97/4.0, Bachelor's degree, Environmental, Population, and Organismal Biology, 4-year course Grade Point Average: 3.97/4.0 at University of Colorado Boulder
English, Spanish, German, German
Stackoverflow
129reputation
34kreached
3answers
9questions
Github Skills (63)
r9
kubernetes9
python9
artifacts-detection9
kaggle8
classification8
lightgbm8
imputation8
data-mining8
gradient8
parallel8
r-package8
genetics7
gradient-boosting7
machine-learning7
Programming languages (6)
Github contributions (5)
OpenDataDayZurich2016/visualization_delays
Mar 2017 - May 2017
Contributions:70 commits, 61 pushes, 1 branch in 2 months
pbpearman/capstone
May 2016 - Nov 2016
Contributions:49 pushes, 3 branches in 5 months
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