Fernanda Rodrigues
Computational Biologist II
St. Louis, Missouri, United States
Summary
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Top SchoolFernanda Rodrigues is a computational biologist with 8 years of experience applying R and Python to large-scale multi-omic cancer datasets to uncover germline and somatic drivers of cancer predisposition and progression. She has deep expertise in variant calling, ACMG-guided rare variant interpretation, and integrative analysis across RNA-Seq, WES/WGS, single-cell modalities, and proteomics from consortia such as TCGA, CPTAC, HTAN and MMRF. A proven leader, Fernanda has led multi-disciplinary teams and consortia projects and communicates complex computational results clearly to scientific and lay audiences including donors and patients. Her work bridges rigorous methodology and translational impact, demonstrated by a trajectory from molecular lab research and bioinformatics internships to a PhD and postdoc and now a Computational Biologist II at Memorial Sloan Kettering. Notably, she pairs bench experience in cancer genetics with advanced computational pipelines, giving her uncommon fluency across experimental and analytic domains.
7 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Biotechnology, Bachelor's degree, Biotechnology at Universidade Federal de PelotasDoctor of Philosophy - PhD, Molecular Genetics and Genomics, Doctor of Philosophy - PhD, Molecular Genetics and Genomics at Washington University in St. LouisMaster of Science (M.Sc.), Bioinformatics, Master of Science (M.Sc.), Bioinformatics at University of Illinois Urbana-Champaign
English, Portuguese
Github Skills (8)
proximity9
hotspot7
mining4
mutation4
bioinformatics4
python4
genomics3
data-mining2
Programming languages (4)
Github contributions (5)
fernanda-rodrigues/vep_samtools
Oct 2022 - Jun 2024
Contributions:2 releases, 2 PRs, 5 pushes in 1 year 8 months
fernanda-rodrigues/fastq2bam
Sep 2022 - Mar 2023
Contributions:3 pushes in 5 months
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