How can machine learning decode the mysteries of life? Why are algorithms essential to enabling precision medical treatments? How do genomes encode the diversity of cells that make up humans and the signals predisposing us to diseases? Olga Troyanskaya discusses these and other questions through the prism of developing deep learning-based approaches for analysis of the human genome and explores their application to understanding human diseases ranging from autism to cancer.
Olga Troyanskaya is a professor at the Lewis-Sigler Institute for Integrative Genomics and the Department of Computer Science at Princeton University and deputy director for genomics at the Flatiron Institute of the Simons Foundation. Her group is focused on developing machine learning methods to address cutting edge problems in genomics and precision medicine. She’s a fellow of the International Society for Computational Biology and a recipient of the Sloan Research Fellowship, the NSF CAREER award, the Howard Wentz faculty award, and the Blavatnik Finalist Award. She has also been honored as one of the top young technology innovators by MIT Technology Review and is the 2011 recipient of the Overton Prize from the International Society for Computational Biology and the 2014 Ira Herskowitz Award from the Genetic Society of America. She holds a PhD from Stanford University.
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