Carlos Najar
Staff Scientist at University of Chicago
Chicago, Illinois, United States
Summary
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Senior🎓
Top SchoolCarlos Najar is a computational biologist and Staff Scientist at the University of Chicago with a decade of experience developing scalable, reference-free methods for RNA-seq isoform analysis and multi-omics integration in neurological and immune disease cohorts. He earned a PhD from UC Berkeley, built widely adopted tools such as LeafCutter2, and led discovery that alternative splicing–mediated nonsense‑mediated decay (AS‑NMD) drives genetic effects on gene expression (Nature Genetics, 2024). His work spans single-cell and population-scale splicing, high-performance computing pipelines, and large consortia studies including GTEx and ADSP, where he uncovered disease-linked intron retention patterns. A mentor and interdisciplinary collaborator, he combines rigorous statistical method development with practical software engineering to translate splicing biology into reproducible analyses and community tools. An underappreciated thread in his profile is consistent focus on unannotated transcript structures, revealing biology missed by annotation‑centric approaches.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at University of California, BerkeleyUniversidad Nacional Autónoma de México (UNAM)
Github Skills (11)
seq4
mixture3
rna-seq3
psi2
bioinformatics2
validate2
genomics2
python1
machine-learning1
clustering1
database1
Programming languages (3)
Github contributions (5)
lareaulab/sc_binary_splicing
Dec 2019 - Sep 2020
Contributions:90 commits, 74 pushes, 1 branch in 8 months
lareaulab/psix
Oct 2020 - Jan 2023
Contributions:171 commits, 1 PR, 111 pushes in 2 years 2 months
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