A pioneer in data science and computational biology, Olga Sazonova translates moonshot R&D

into market-moving products in consumer genomics, cancer detection, and personalized

nutrition.

During her Biomedical Engineering PhD at Boston University, Olga taught herself to code,

earning a coveted NIH postdoctoral fellowship in computational science at Stanford. Balancing

motherhood with her biotech career, she joined 23andMe, first leading massive genomic studies

in neurological disease before moving to the product team to build the core machine learning

models for their consumer polygenic risk scores. At GRAIL, she spearheaded the R&D for novel

AI-driven early cancer detection.

As Director of Data Science at Nutrisense, Olga built the research program from scratch,

directing IRB-approved clinical studies and unleashing LLMs to validate product efficacy. At

Xella Health, she now leads a team of scientists and engineers developing the first AI-driven,

multi-omics powered 'magnifying lens' to illuminate female reproductive health and biology.