Computing, data and COVID-19

COVID-19 has disrupted every aspect of our lives, and never before has there been such a need to build interdisciplinary teams to address some of the most critical data and computing problems associated with the pandemic, using advanced statistical techniques to interpret data, simulation to understand intervention impacts, and machine learning to identify possible medical therapeutics. High performance computing has long embraced interdisciplinary work, and in this talk I will give a broad overview of the role that data and computing are playing in COVID-19 rapid response, and some of the underlying challenges for computational modeling, analysis, and learning.