Sonali Arora
Bioinformatics Analyst IV
Greater Seattle Area United States
Summary
👤
Senior🎓
Top SchoolSonali Arora is a Bioinformatics Analyst IV with 12 years of experience building R/Bioconductor tools for high-throughput genomic data analysis at Fred Hutch. She combines deep expertise in RNA-Seq, ribosome profiling, copy-number analysis and machine learning (elastic net, SVM, random forest) to translate complex cancer genomics datasets into actionable biological insights. Her work spans package development, pipeline engineering, and reproducible data caching from biological resources, reflecting both software craftsmanship and domain rigor. She has a strong translational focus on brain tumor biology and the cancer proteome, and a track record of moderating and reviewing community-contributed Bioconductor packages. Based in the Greater Seattle Area, she bridges computational method development with applied genomics and is actively exploring machine learning approaches for big genomics data. An underappreciated strength is her history of full-stack bioinformatics work—from .NET web development early in her career to advanced R-based algorithm design—giving her unusually broad technical perspective.
12 years of coding experience
3 years of employment as a software developer
Btech, Biotechnology, Btech, Biotechnology at SRM UniversityMasters, Biomedical Sciences, Masters, Biomedical Sciences at Mount Sinai School of Medicine of New York University
Github Skills (77)
bioconductor10
core-package10
file-import9
genomics9
explore9
bioinformatics9
r-package9
naming9
bam7
fasta7
tabix7
tsne7
computational-biology6
transcriptomics6
heatmap6
Programming languages (3)
Github contributions (5)
sonali-bioc/Lim-5utr-Paper
May 2020 - Jun 2024
Contributions:1 release, 5 pushes, 1 branch in 4 years 1 month
sonali-bioc/UncertaintyRNA
Oct 2018 - Apr 2020
Contributions:59 commits, 53 pushes, 1 branch in 1 year 7 months
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