Professor Olga Troyanskaya’s research presentation on “Data-driven understanding of human disease."

From Tracy Meyer on February 8th, 2018

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Princeton Professor Olga Troyanskaya presented recent research at the University’s Biomedical Data Science Day, focused on a deep learning-based algorithmic framework to predict the effect of mutations in genomic sequence without any prior information, and using these predictions to accurately prioritize disease-associated sequence variants.

Biomedical Data Science Day was held on October 25, 2017 and was attended by 70+ professionals from industry, foundations, other higher education institutions and Princeton. This "Industry Engagement Day" was organized by the Office of Corporate Engagement and Foundation Relations and the School of Engineering and Applied Science.

For more information on biomedical data science at Princeton and the regional initiative kicked off by this event, contact Spencer Reynolds at spencerr@princeton.edu.

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Professor Olga Troyanskaya’s research presentation on “Data-driven understanding of human disease."

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