Scientific innovation and agricultural strategy
Beatriz
Beatriz leads Siren's scientific innovation and agricultural strategy, bringing together molecular biology, AI systems architecture, and a deep understanding of plant biology.
Her background spans contributions to the ENCODE Consortium with Stanford, UCSF, Scripps, and UCSD, as well as predictive AI models for a $1B cybersecurity and executive risk portfolio, reaching 98% accuracy in critical profiles for highly regulated industries.
At Siren, she is developing an Adaptive Genetics program that combines data-driven selection, epigenetic insight, and Portuguese terroir to guide resilient cultivation decisions.
- Molecular biology
- AI systems
- Adaptive genetics