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Building Data Science Solutions for Personalized Health and Medicine

February 26 @ 12:00 pm - 1:00 pm

The Centre for Analytics and Artificial Intelligence Engineering (CARTE) hosts Dr. 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.

Details

Date:
February 26
Time:
12:00 pm - 1:00 pm
Event Category:
Website:
https://zoom.us/webinar/register/WN_Uq5WN9uzQIOb7GFhKn2mCg

Venue

Online

Organizer

CARTE
Website:
carte.utoronto.ca

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