AI Meets DNA: Small Models, Big Data, Huge Impacts
from Shared Everything Hosted by VAST
In this episode of the Shared Everything podcast, Derrick Harris speaks with Oxford Nanopore VP of Machine Learning Mike Vella about the company’s relatively unique approach to doing AI in the fast-moving field of genomics. From hand-programming CUDA kernels to dealing with the gigabyte per second of data coming off its DNA sequencers, Vella explains how his team balances the promise of fast, inexpensive sequencing with the realities of edge computing.
Embed this episode
No transcript yet.
Frequently asked questions
How long is this episode of Shared Everything?
This episode is 31 minutes long.
When was this Shared Everything episode published?
This episode was published on May 26, 2026.
Can I download this Shared Everything episode?
Yes. Use the download control on the episode player to save the publisher-provided media file.