1 April 2020 • 13:30 -

ELLIS against Covid-19

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 1:45pm

Introduction

Bernhard Schölkopf and Oliver Stegle (link to recording)

1:45pm - 2:30pm

Outbreak prediction / tracking & epidemiological modelling

Nuria Oliver (15 min): "Data Science to fight against COVID-19" (link to recording)
Richard Neher (15 min): "Tracking SARS-Cov-2 using viral genomes and projecting its spread" (link to recording)
Questions & Discussion

2:30pm - 2:55pm

Viral & host genome sequencing

Chris Mason (15 min): "A Rapid, International COVID-19 and Microbial Monitoring Network" (link to recording)
Questions & Discussion

2:55pm - 3:40pm

Drug development

Guenter Klambauer (15 min): "Screening for SARS-CoV inhibitors" (link to recording)
Yoshua Bengio (15 min): "COVID-19 research at MILA" (link to recording)
Questions & Discussion

3:40pm - 4:05pm

Healthcare management

Mihaela van der Schaar (15 min): "Using machine learning and PHE data to help hospitals cope with COVID-19" (link to recording)
Questions & Discussion

4:05pm - 4:30pm

Data, resource, open challenges & community platforms

Fred Hamprecht (5 min): "COVID: volunteering for machine learners" (link to recording)
Devvret Rishi (5 min): "Understanding COVID-19 with the help of a million data scientists" (link to recording)
Questions

4:30pm - 5:00pm

Concluding discussions