Jan 23, 2020
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
research paper “PaccMann<sup>RL</sup>: Designing
anticancer drugs from transcriptomic data via reinforcement
learning,” a framework built to accelerate new anticancer drug
his background in cognitive science and computational neuroscience
applies to his current ML research.
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.
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
Check out the complete show
notes for this episode at twimlai.com/talk/341.