webinar register page

Topic

Building Data Science Solutions for Personalized Health and Medicine

Description

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.

Time

Feb 26, 2021 12:00 PM in Eastern Time (US and Canada)

Webinar is over, you cannot register now. If you have any questions, please contact Webinar host: CARTE Webinars.

Time Zone:

Your Information
Send to
Message preview	Hi there, You are invited to a Zoom webinar. When: Feb 26, 2021 12:00 PM Eastern Time (US and Canada) Topic: Building Data Science Solutions for Personalized Health and Medicine Register in advance for this webinar: https://zoom.us/webinar/register/WN_Uq5WN9uzQIOb7GFhKn2mCg After registering, you will receive a confirmation email containing information about joining the webinar. ---------- Webinar Speakers Dr. Shiva Amiri (Director of Research Infrastructure @23andMe) Dr. Amiri is the Director of Research Infrastructure at 23andMe 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.

webinar register page

Share via Email

Switch Time Zone

Upcoming Meetings