Automated ML for RNA Design with Danny Stoll

800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we’re joined by Danny Stoll, Research Assistant at the University of Freiburg.

Since high school, Danny has been fascinated by Deep Learning which has grown into a desire to make machine learning available to anyone with interest. Danny’s current research can be encapsulated in his latest paper, ‘Learning to Design RNA’. Designing RNA molecules has become increasingly popular as RNA is responsible for regulating biological process, even connected to diseases like Alzheimers and Epilepsy. In this episode, Danny explains the design process through reverse engineering and how his team’s deep learning algorithm is applied to train and design a sequence. And another. And another. Listen as we cover transfer learning, multitask learning, ablation studies, hyperparameter optimization and the difference between chemical and statistical based approaches.

About Danny

From the Interview

TWIMLcon Update

Don’t forget to register today for TWIMLcon! Beyond keynote interviews like Andrew Ng, Hussein Mehanna and Fran Bell, we’ve got a bunch of interesting speakers lined up to share their successes and failures helping their organizations build and productionalize ML and deep learning models. Stay tuned for more details! http://twimlcon.com/

Meetup Update!

Many of you are aware that we’ve been hosting a couple of paper-reading meetups in conjunction with the podcast. I’m excited to share that Matt Kenney, Duke staff researcher and long-time listener and friend of the show, has stepped up to help take this group to the next level. The paper reading meetup will now be meeting every other Sunday at 1 PM Eastern Time to dissect the latest and greatest academic research papers in ML and AI. If you want to take your understanding of the field to the next level, check twimlai.com/meetup for more upcoming community events.

We’ve also got a couple of study groups currently running, one working through the fast.ai Deep Learning from the Foundations course, another on fast.ai Natural Language Processing, and another working through the Stanford cs224n Deep Learning for Natural Language Processing course. These study groups just started and will be working on these courses through October and November, so it’s not too late to join. Sign up on the meetup page at twimlai.com/meetup.

Check it out

“More On That Later” by Lee Rosevere licensed under CC By 4.0

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