ExaHealth 2021: Exascale computing and machine learning for public health

Monday 18 Oct 2021, 13:00 → 17:00 Europe/Zurich

Virtual / CERN

James Beacham (Duke University (US))

            

With the advanced state of high-performance computing (HPC) at the exascale and the continued development and proliferation of machine learning (ML) / deep learning techniques in all sectors, it is imperative that we ensure these resources are being used not only for commercial applications but in a realm that affects us all: Public health.

Projects supported by the European Union (such as Exscalate4COV and LIGATE, with the participation of dozens of institutions, including Chelonia Applied Science, hosted at the Innovation Office of University of Basel) as well as initiatives pioneered by CERN openlab (such as CERN Science 4 Open Data) demonstrate the possibilities and prospects of leveraging exascale HPC and ML in the health sciences. But what are we missing? How can we ensure that we will respond quickly and efficiently to future health situations, including (but not limited to) pandemics?

Join us at ExaHealth 2021 to explore how exascale computing and ML are used in the health and life sciences and to begin charting a course for the future.

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Remote connection details will be provided to registrants on the day of the event. Please register to ensure you can connect!

13:00 → 13:05 Welcome from CERN computing

Alberto Di Meglio – Head of CERN openlab

Speaker: Alberto Di Meglio (CERN)

13:05 → 13:10 Welcome from Chelonia

James Beacham, particle physicist with the ATLAS Experiment at CERN, and Duke University; Communications Ambassador-at-Large, Chelonia Applied Science

Speaker: James Beacham (Duke University (US))

CHELONIA_Alliance4Life.pdf

13:10 → 13:40 Exascale computing and public health: An overview (25+5)

Andrea Beccari, Head R&D Platforms and Services at Dompé farmaceutici and Project Coordinator for Exscalate4COV & LIGATE.

Speaker: Andrea Beccari (Dompé farmaceutici)

13:40 → 14:10 ExaHealth machines: supercomputers at work (25+5)

Sanzio Bassini, Director of Supercomputing Applications CINECA

Speaker: Sanzio Bassini (CINECA)

14:10 → 14:20 Coffee

14:20 → 14:50 Enhancing analysis performance and reproducibility with containers and the cloud (25+5)

Ricardo Rocha, Computing Engineer in the CERN cloud team

Speaker: Ricardo Rocha (CERN)

Enhancing Analysis Performance and Reproducibility.pdf

14:50 → 15:40 CERN openlab / CERN Science 4 Open Data (CS4OD): use cases for the life sciences

Anna Ferrari, Senior Fellow at CERN openlab and Alexandros Ioannidis CERN-IT Zenodo Service Manager

Speakers: Anna Ferrari (CERN), Alexandros Ioannidis (CERN)

CS4OD_ExaHealth 2021.pdf

15:40 → 15:50 Coffee

15:50 → 17:00 Panel: HPC and ML for public health in Europe and beyond: Where do we go from here?

Panel: “HPC and ML for public health in Europe and beyond: Where do we go from here?”, featuring experts from CERN openlab, EuroHPC, Dompé, CINECA, and SAS.

Speakers: Andrea Beccari (Dompé farmaceutici), Anna Ferrari (CERN), Ivan Knezevic (Ministry of Economic Development of Montenegro (ME)), James Beacham (Duke University (US)), Josephine Wood (EuroHPC JU), Maria Girone (CERN), Mark Lambrecht (SAS), Sanzio Bassini (CINECA)