On February 26th, The Centre for Analytics and AI Engineering (CARTE) hosts Shiva Amiri, Director of Research Infrastructure at 23andMe, who will discuss building genomic analytics and machine learning platforms for personalized health and drug discovery.
Abstract: This seminar will cover building genomic analytics and machine learning 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 internal Research and Therapeutics discovery work. These platforms comprise 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 multiple research, consumer and therapeutics teams. The seminar will discuss a machine learning platform that has been built to consume the GWAS results and other features to build Polygenic Risk Score (PRS) reports for health product, and is extensible for drug discovery work as well as touch on the applications of these and related technologies including that of machine learning in drug discovery.
Full announcement at: CARTE