Sebastian Paez
Data Scientist
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolSebastian Paez is a data scientist and computational mass spectrometrist with 11 years of experience applying machine learning, statistics, and bioinformatics to cancer biology and proteomics. Holding a PhD-level background from Purdue, he has developed custom analysis pipelines and R packages for bulk and single-cell sequencing and contributed to mass-spec software as a recurrent reviewer for the Journal of Open Source Software. At Talus Bio he translates complex biological datasets into actionable insights in interdisciplinary teams, drawing on hands-on wet-lab experience from earlier kinase substrate and proteomics work. A frequent open-source contributor and occasional woodworker in his spare time, he bridges experimental biology and reproducible computational tools to accelerate translational research.
11 years of coding experience
1 year of employment as a software developer
Biologist, Biology/Biological Sciences, General, Biologist, Biology/Biological Sciences, General at Universidad Nacional de ColombiaDoctor of Philosophy - PhD, Oncology and Cancer Biology, Doctor of Philosophy - PhD, Oncology and Cancer Biology at Purdue University
Github Skills (200)
cran10
mass10
python10
seq10
ipython10
deep-learning10
strip10
polygon10
dia10
mass-spectrometry10
heatmap10
ai10
ipython-magic10
lightning10
artificial-intelligence10
Programming languages (16)
Github contributions (5)
jspaezp/sctree
Mar 2019 - Apr 2022
Tree based marker finding and gating visualization for single cell rna seq data
Contributions:58 commits, 13 PRs, 69 pushes in 3 years 2 months
markerfindingtree-basedrna-seqrna-seq-data
jspaezp/elfragmentador-data
Mar 2021 - Feb 2023
Contributions:3 PRs, 122 pushes, 6 branches in 1 year 10 months
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