Astrid Deschenes
Computational Science Developer
Town of Huntington, New York, United States
Summary
👤
Senior🎓
Top SchoolAstrid Deschenes is a Computational Science Developer with 12 years of experience applying software engineering and bioinformatics to cancer and genomics research at Cold Spring Harbor Laboratory. She builds reproducible analysis pipelines and R packages for copy number and HLA clustering, deploys bioinformatics tools on HPC and cloud platforms (Docker/Seven Bridges), and has deep hands-on expertise in Java, C/C#, Python, BioPython/Perl, R and HDF5. Her background in chemical engineering and a minor in computer science give her a unique cross-disciplinary perspective that informs both algorithmic optimization and experimental protocol design. Comfortable moving between low-level performance tuning and high-level statistical genetics (Bayesian training), she’s as fluent writing unit-tested code and documentation as she is running large-scale RNA-Seq analyses on supercomputers.
11 years of coding experience
12 years of employment as a software developer
Bachelor, Chemical Engineering, Bachelor, Chemical Engineering at Université LavalBayesian Statistics for Genetics, Bayesian Statistics for Genetics at 18th Summer Institute in Statistical Genetics
French, English
Github Skills (47)
r-package10
seq10
r-language10
estimate10
bioconductor10
hla10
rna-seq10
cancer-genomics9
r9
bootstrap9
variants9
functional-enrichment9
ancestry9
derived9
similarity9
Programming languages (3)
Github contributions (5)
KrasnitzLab/CNVMetrics
Aug 2018 - Oct 2022
R Package to compare copy number variant (CNV) results from multiple samples/methods
Contributions:6 releases, 442 commits, 99 PRs in 4 years 2 months
r-packagecnvrstatscopy-number-variationcopy-number
adeschen/CNprep
Feb 2020 - May 2022
Processing DNA Copy Number (CN) Data for Detection of CN Events
Contributions:6 PRs, 69 pushes, 2 branches in 2 years 2 months
r-packageeventsdnadna-processingmodel-based-clustering
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