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.
12 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 (43)
ancestry10
functional-enrichment10
r-package10
cancer-genomics10
preprocess10
r10
seq10
r-language10
package10
bioconductor10
rna-seq10
bioinformatics10
genomics10
clustering10
bootstrap9
Programming languages (4)
Github contributions (5)
adeschen/HLAClustRView
Nov 2018 - Nov 2019
R package specialized in HLA typing clustering and visualization based on specific similarity metrics.
Contributions:57 PRs, 156 pushes in 1 year
clusteringrr-packagevisualization
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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