Fairlie Reese

Postdoctoral Scholar at Barcelona Supercomputing Center

Barcelona, Catalonia, Spain
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Summary

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Fairlie Reese is a computationally-minded postdoctoral scholar with nine years of experience applying bioinformatics and software development to large-scale biological and acoustic datasets. After earning a BS in Bioinformatics from UC San Diego and completing a PhD at UC Irvine studying developmental and cell biology, Fairlie built tools for long-read sequencing analysis and contributed software used by oceanographers at Scripps. Now based at the Barcelona Supercomputing Center, they combine rigorous research with practical engineering to deliver reproducible pipelines and user-facing analysis tools. Known for bridging domain science and scalable computation, Fairlie often automates tedious workflows and embeds usability into research software, making complex data more accessible to domain experts.
code9 years of coding experience
job2 years of employment as a software developer
bookUniversity of California San Diego
bookUniversity of California, Irvine
languagesEnglish, Catalan
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Stackoverflow

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Github Skills (109)

nmf10
ternary10
seq10
weighted10
transcriptomics10
triangle10
single-cell-analysis10
rna-seq10
altair10
community-detection10
bioinformatics10
pandas9
pipeline9
transcription9
differential-expression9

Programming languages (7)

TypeScriptC++RJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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Contributions:461 pushes in 1 year 1 month
mortazavilab/swan_vis

Nov 2019 - Jan 2023

A Python library to visualize and analyze long-read transcriptomes
Contributions:8 releases, 513 commits, 5 PRs in 3 years 2 months
python-librarypythonvisualizelongnmf
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Fairlie Reese - Postdoctoral Scholar at Barcelona Supercomputing Center