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Machine Learning in Genomics: Tools, Resources, Clinical Applications and Ethics

Event Details

The NHGRI Genomic Data Science Working Group of the National Advisory Council for Human Genome Research hosted the Machine Learning in Genomics virtual workshop on April 13 - April 14, 2021.

Day 1 Agenda  |  Day 2 Agenda 

Organizing Committee

Executive Summary


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Additional Information

The primary purpose of the workshop is to stimulate discussion around the opportunities and obstacles underlying the application of machine learning (ML) methods to basic genome sciences and genomic medicine, to define the key scientific topic areas in genomics that could benefit from ML analyses and NHGRI’s unique role at the convergence of genomic and ML research. 

The data-intensive fields of genomics and ML are in an early stage of convergence. This workshop will include a combination of lectures from ML, genomics, and ethics researchers with substantial time set aside for virtual Q&A sessions in which all attendees, irrespective of expertise and background, are encouraged to participate. Topics of interest within genomics cover the full spectrum of basic and clinical research. The workshop will also focus on the ethical aspects of ML applications to genomics data. ML scientists without any connection to genomics are as welcome to join as those already applying their analytical methods to genomic data. 

Day 1 Agenda

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Day 2 Agenda

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Last updated: November 24, 2021