Subarna Sinha

Subarna Sinha, a leader in Machine Learning Engineering at 23andMe, dives into the world of genomic data and disease prediction. She discusses the development of polygenic risk scores and the complexities involved in predicting disease likelihood from genetic variations. The conversation highlights the technological innovations behind their ML platform, including tools like AWS and Jenkins. Subarna also addresses the challenges of data drift and the importance of team dynamics in refining predictive models, ensuring more accurate health assessments.