Data Infrastructure and High Performance Computing

The management and analysis of the massive amounts of data generated by the life science industry is demanding for best practices involving provisioning, using and improving the critical systems and services in high-performance computing, networking, and storage.

The system flexibility, sustainability, and scalability of IT infrastructure are vital to support life science research and its translation to medicine. This conference will showcase innovative network architectures, applications, protocols and interfaces that will significantly impact the high-performance computing field. We will also present the latest developments in high-performance computing, storage and analysis that are advancing scientific discovery, research, and applications in the life science industry.

» KEYNOTE PRESENTATIONS:

Knowledge Management for Public-Private Partnerships in Translational Science: An Introduction to the IMI eTRIKS Consortium

Yike Guo, Ph.D., Professor, Computing Science, Computing, Imperial College London

Ian Dix, Ph.D., Director, Analytics, Information and Knowledge Engineering (AIKE), R&D Information, AstraZeneca

Talk Title to be Announced

Paul Flicek, Ph.D., Principal Investigator & Head, Vertebrate Genomics Team, EMBL-European Bioinformatics Institute

Helix Nebula - The Science Cloud

Rupert Lueck, Ph.D., Head, IT Services, EMBL Heidelberg

E-Infrastructure for Assisted Diagnosis and Biomarker Discovery in the Neurosciences

Giovanni B Frisoni, Ph.D., Neurologist, Deputy Scientific Director, IRCCS Fatebenefratelli, Brescia - The National Centre for Alzheimer’s and Mental Diseases

SHOCK: A Cloud-Enabled, Federated Data Sharing Mechanism for Microbial Biology and Microbial Ecology Supporting HPC and Individual Researchers

Folker Meyer, Computational Biologist, Argonne National Lab