In this episode, Jacob Schreiber interviews Žiga Avsec abouta recently released model, Enformer. Their discussion begins with lifedifferences between academia and industry, specifically about how researchis conducted in the two settings. Then, they discuss the Enformer model,how it builds on previous work, and the potential that models like it havefor genomics research in the future. Finally, they have a high-level discussionon the state of modern deep learning libraries and which ones they use in theirday-to-day developing.

Links:

• Effective gene expression prediction from sequence by integrating long-range interactions (Žiga Avsec, Vikram Agarwal, Daniel Visentin, Joseph R. Ledsam, Agnieszka Grabska-Barwinska, Kyle R. Taylor, Yannis Assael, John Jumper, Pushmeet Kohli & David R. Kelley )
• DeepMind Blog Post (Žiga Avsec)

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