Deep learning in genomics with Olga Troyanskaya

In this interview, Olga Troyanskaya (Princeton University, NJ, USA) explains her new deep learning tool and its applications to genomics at ASHG 2019 (15-19 October 2019; Houston, TX, USA). She also discusses artificial intelligence and genetics more broadly, focusing on gold standard practices and the future of the discipline.

About the author:

Olga Troyanskaya is a principal investigator and professor at the Lewis-Sigler Institute for Integrative Genomics and the Department of Computer Science at Princeton University. The goal of her lab’s research is to distil the complexity of genomics through sequence analysis and molecular pathway modelling, providing insight into malfunctions that lead to the manifestation of disease. They focus on inventing integrative methods for systems-level pathway modelling through integrative analysis of genome-scale datasets.

Original publication:

Video originally published on BioTechniques, a digital platform from the Future Science Group providing the latest methods, techniques and protocols in life science.