Director, Research Infrastructure at 23andme
WATCH LIVE: February 16 @ 1:50PM – 2:10PM ET
Building Data Science Solutions for Personalized Health and Medicine
This talk describes building genomic analytics and ML platforms for personalized health and drug discovery using the large-scale genetics and phenotypic data at 23andMe. The focus will be on the technology and infrastructure for building and surfacing models to 10M+ customers as well as technologies for our internal Research and Therapeutics discovery work. These platforms comprise our large-scale genomic and phenotypic data sources, genomic analysis pipelines such as genome wide association study (GWAS), and production machine learning services, which combined, power the work of our multiple research, consumer and therapeutics teams.
We will discuss an ML platform that has been built to consume the GWAS results and other features to build Polygenic Risk Score (PRS) reports for our health product, and is extensible for our drug discovery work as well as touch on the applications of these and related technologies including that of ML in drug discovery.