Genomics
The genomics team in Google Brain focuses on ways that deep learning can transform genome sciences, with a goal of enabling, creating and validating new capabilities and tools that will empower researchers, accelerate discoveries, and ultimately improve people’s lives. Our efforts fall into three broad areas: (1) extending TensorFlow to better support genomics data; (2) developing deep learning models for genomics problems; and (3) releasing new tools and capabilities as open source software.
Our first major project is DeepVariant, a universal SNP and small indel variant caller created using deep neural networks. DeepVariant is a collaboration between Google and Verily Life Sciences, and is available as open source. Read more about DeepVariant on the Google Research blog.
We’re always open to research collaborations. If you know of an organization that would like to work with us, please fill out this form.
If you are interested in job or internship opportunities, please visit Work at Google.
Some of Our Team
- David Alexander
- Akosua Busia
- Pi-Chuan Chang
- Thomas Colthurst
- Mark DePristo
- Lizzie Dorfman
- Cory McLean
- Ryan Poplin
- Scott Schwartz
- Suhani Vora