ELLIS against Covid-19

ellis 06 May 2020 Covid Workshop

06 May 2020 • 13:30

The world is facing a public health emergency caused by the Covid-19 pandemic. We all need to take this on, and science can make a major contribution. This online workshop will present projects on how to tackle Covid-19 using methods of machine learning and AI, carried out by leading international researchers. Research topics include outbreak prediction, epidemiological modelling, drug development, viral and host genome sequencing, and health care management.

Agenda

* Speakers and talk titles are subject to change

* All times in Central European Summer Time (CEST)

Time	Session
1:30pm 1:40pm	Introduction Guido Sanguinetti
1:40pm - 2:15pm	Neural network and causality approaches against Covid-19 Jürgen Schmidhuber (15 min): "AI v Covid-19" Uri Shalit (10 min): "Extreme domain adaptation: an early COVID-19 risk score" Questions & Discussion (10 min)
2:15pm - 2:55pm	Biomolecular structure of Sars-Cov-2 John Jumper (15 min): "Computational predictions of protein structures associated with COVID-19" Toby Gibson (15 min): "Candidate short linear motifs (SLiMs) in the SARS2 receptor protein ACE2 cytosolic tail" Questions & Discussion (10 min)
2:55pm - 3:30pm	Modeling and tracing Lenka Zdeborova (15 min): "COVID-19 risk estimation from contact tracing data" Questions & Discussion (10 min) General Discussion and closing remarks (10 min)