Summary
Galina Erikson is an experienced bioinformatician with 13 years of hands-on practice in genomics, specializing in de novo assembly of nanopore ultra-long reads, repeat analysis and pericentric region characterization. Based at the Max Planck Institute, she bridges core lab collaboration and computational method development across NGS modalities (WGS, exome, RNA-seq, ChIP-seq, ATAC-seq) and variant/CNV calling pipelines. Proficient in Python, R, Java and multiple scripting languages, she builds and maintains HPC and cloud-enabled pipelines using tools like GATK, samtools, BWA and Plink, and has production experience with MongoDB, MySQL and AWS. Her background includes sustained contributions to translational and comparative genomics at Salk and Scripps, where she delivered research-grade software, databases and privacy-aware genomic tools. Fluent in English, Russian and Romanian, she pairs deep technical skill with strong interpersonal and rapid domain-learning abilities, often tackling projects that require bespoke analysis of repetitive and hard-to-map genomic regions.
12 years of coding experience
8 years of employment as a software developer
BS, Computer Science, BS, Computer Science at Technical University of Moldova
Graduate Certificate, Life Sciences Information Technology, Graduate Certificate, Life Sciences Information Technology at UCSD Extension
German, Romanian, Russian, French, English