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Home > This Week in Machine Learning & Artificial Intelligence (AI) Podcast > PaccMann^RL: Designing Anticancer Drugs with Reinforcement Learning w/ Jannis Born - #341
Podcast: This Week in Machine Learning & Artificial Intelligence (AI) Podcast
Episode:

PaccMann^RL: Designing Anticancer Drugs with Reinforcement Learning w/ Jannis Born - #341
Category: Technology
Duration: 00:43:13
Publish Date: 2020-01-23 11:06:00
Description:

Today we’re joined by Jannis Born, Ph.D. student at ETH & IBM Research Zurich. We caught up with Jannis a few weeks back at NeurIPS, to discuss: 

  • His research paper “PaccMann^RL: Designing anticancer drugs from transcriptomic data via reinforcement learning,” a framework built to accelerate new anticancer drug discovery. 
  • How his background in cognitive science and computational neuroscience applies to his current ML research.
  • How reinforcement learning fits into the goal of cancer drug discovery, and how deep learning has changed this research.
  • Jannis describes a few interesting observations made during the training of their DRL learner. 
  • And of course, Jannis offers us a step-by-step walkthrough of how the framework works to predict the sensitivity of cancer drugs on a cell and subsequently discover new anticancer drugs. 

Check out the complete show notes for this episode at twimlai.com/talk/341. 
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