Summary
Masha Aseeva is a software engineer with nine years’ experience building full-stack systems at the intersection of healthcare, genomics, and public health. She has shipped production features across Ruby on Rails, React/Typescript, Python/Django, and Node.js—most recently owning patient identity, billing, and minor-access features that expanded mental health portal coverage. At Myriad she led reporting work that enabled large-scale CNV reporting for prenatal screening, served as interim tech lead, and created mentorship and unbiased interview processes. Her background in computational biology and experience at national labs inform a pragmatic approach to data-driven products, from genomic pipelines and sequence threat screening to ML-backed predictive models. Based in Los Angeles with ties to the SF Bay Area, she combines research-grade bioinformatics rigor with startup-style product delivery.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.), Computational Biology, 3.96 GPA, Bachelor of Science (B.S.), Computational Biology, 3.96 GPA at The University of Texas at Austin
Computational Biology, Computational Biology at ETH Zurich
English, Russian, French, German