Nahal Shahani

The genomic domain stands to benefit greatly from advances in AI and data science, but increasing privacy and cybersecurity concerns necessitate robust solutions for sensitive collaborative research. This paper presents a practical deployment of a privacy-preserving framework for genomic research developed in collaboration with Lynx.MD, a secure health data collaboration platform, addressing challenges of enabling joint analysis of genomic data while mitigating data breach risks. The framework demonstrates scalable, privacy-preserving data sharing and analysis that maintains utility while satisfying rigorous security requirements in a real production environment.