Transcriptome prediction performance across machine learning models and diverse ancestries Position: Data Scientist II. Marcus Institute for Aging Research – Harvard Medical School ASHG: Can you describe the type of research that has your primary focus? Paul Okoro: My research centers on developing and utilizing data-driven integrated bioinformatics and statistical frameworks. Specifically, I work on... Read More
The fall U.S. legislative season will be a busy one and ASHG will be calling on U.S. ASHG members to contact their members of Congress to support and protect funding for the National Institutes of Health. Here is what you need to know – and how and when ASHG may ask for your active engagement. ... Read More
ASHG 2023 is another jam-packed meeting with something for every attendee at all career stages! The Annual Meeting is the Society’s premier platform to share excellence in research, connect with other members through world-class networking opportunities, and preview the tools and products to power your next discovery. There are several types of scientific sessions, selected... Read More
Posted By: HGG Advances HGGA: What motivated you to start working on this project? NG: Although monogenic genetic disorders are individually rare, collectively they affect up to 1 in 20 people in the global population. Over 700 monogenic disorders—including many inherited metabolic disorders, which I study and treat clinically—now have targeted treatments. As more therapies... Read More