Covid 19

National Symposium on Drug Repurposing for Future Pandemics

17-18th November 2020
Virtual Symposium
 

The Symposium

Two Days of Visionary Talks
17-18th November 2020
11 am - 5 pm EST

Pandemics demand safe and effective therapies developed and deployed at an unprecedented speed. This Symposium, organized on behalf of the National Science Foundation (NSF), provides a forum for scientists and researchers from a variety of fields relevant to therapeutics. Participants discuss ways to expedite the development of therapies by compressing years of work into months or even weeks through automation, artificial intelligence and machine learning, novel data sources, and most recent biotechnology advancements.

 

The Symposium brings together leading experts in computer science, biology, statistics, medicine, automation, and regulation. While these areas of expertise are necessary for rapid therapeutic innovation, there is seldom an opportunity for these experts to interact with each other.

Bearing in mind new opportunities and pressing challenges, the Symposium provides a roadmap and puts forward recommendations on transforming today’s tools into ready-to-use solutions to fight future pathogens.

Social Media Hashtag:  #futuretx20

 

Our Speakers

Albert-László Barabási

Northeastern University

Harvard Medical School

Sergio Baranzini

UCSF

Regina Barzilay
MIT

Jan Baumbach
TU Munich

Andreas Bender

AstraZeneca

Cambridge University

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Yoshua Bengio
University of Montreal

MILA

Michael Bronstein

Imperial College London

Anand Chokkalingam

Gilead Sciences

UC Berkeley

Djork-Arné Clevert

Bayer

James Collins

MIT

Broad Institute

Robert Gentleman

Harvard Medical School

Kevin Grimes

Stanford University

Bino John

AstraZeneca

Nevan Krogan

UCSF

Joseph Loscalzo

Harvard Medical School

Jure Leskovec
Stanford University

Chan Zuckerberg Biohub

Ziad Obermeyer

UC Berkeley

Marinka Zitnik

Harvard

Broad Institute

Vijay Pande

Andreessen Horowitz
Stanford University

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Qi Liu

FDA

Therapeutics Data Commons

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© 2020 Marinka Zitnik Lab | Harvard DBMI