On February 26^th, 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.

Speaker Bio: Dr. Amiri is the Director of Research Infrastructure at 23andMeis the where she works between researchers and engineers to power world class discovery at 23andMe. Her role is focused on building data products for data scientists and researchers. She was previously the Director of Data Science at Zymergen Inc., a molecular technology company in the Bay Area focused on generating new chemicals. Prior to Zymergen, she was the CEO of BioSymetrics Inc. a biomedical machine learning startup in New York, where she was initially the Chief Product Officer. She holds a PhD (DPhil) in Computational Biophysics from the University of Oxford and a HBSc. in Computer Science and Human Biology from the University of Toronto.

For registration, please visit here. The seminar will be recorded and made available through CARTE’s Youtube channel. To stay up-to-date with CARTE announcements and events, please follow CARTE Linkedin and Facebook pages, or sign up for CARTE’s email list.