ELLIS against Covid-19
ellis cyvy 01 April 2020 Covid Workshop
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 1:45pmIntroduction
- Bernhard Schölkopf and Oliver Stegle (link to recording)
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
Viral & host genome sequencing
- Chris Mason (15 min): "A Rapid, International COVID-19 and Microbial Monitoring Network" (link to recording)
- Questions & Discussion
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
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
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
Concluding discussions
- Mihaela van der Schaar: Final questions and comments, wrapup (link to recording)
Talks:
- Data Science to fight against COVID-19, Nuria Oliver (Vodafone, Data-Pop Alliance)
- Tracking SARS-Cov-2 using viral genomes and projecting its spread, Richard Neher (University of Basel)
- A Rapid, International COVID-19 and Microbial Monitoring Network, Chris Mason (Weill Cornell Medicine)
- Screening for SARS-CoV inhibitors, Guenter Klambauer (Johannes Kepler University Linz)
- COVID-19 research at MILA, Yoshua Bengio (Mila – Quebec Artificial Intelligence Institute)
- Using machine learning and PHE data to help hospitals cope with COVID-19, Mihaela van der Schaar (University of Cambridge)
- COVID: volunteering for machine learners, Fred Hamprecht (Heidelberg University)
- Understanding COVID-19 with the help of a million data scientists, Devvret Rishi (Kaggle)
Livestream:
The event was livestreamed. You can watch the YouTube recording here:
The event was livestreamed. You can watch the YouTube recording here:
