Category: Data Analysis and Informatics

1375-A - Generative models for drug discovery. Application to crypto-currencies.

Monday, February 5, 2018
2:00 PM - 3:00 PM

Early-stage drug discovery requires a constant supply of new molecules, to be fed into High Throughput Screening machines. To increase this supply, virtual molecules can be generated on-demand with neural networks. In this talk, I present a Reinforcement Learning generative model, and a variant using Generative Adversarial Networks. I also present two challenges that both are facing: 1. multitasking between different objectives and 2. generating chemically diverse molecules. Finally, I sketch how these generative models could become a useful proof-of-work for a 'Drugcoin' crypto-currency, in place of the Hashcash proof-of-work of Bitcoin.

Mostapha Benhenda

Ch√Ętillon, Ile-de-France, France

PhD in mathematics from the University of Paris 13, founder of Startcrowd, an online AI lab