The Converged IT Summit is designed for professionals involved with strategic planning and implementation of IT technologies to support science. The goal is to deliver solutions to scientists that give them the freedom to discover.
During the Information Age, discoveries in our physical world began feeding an abstract electronic data universe. Consequently, scientifc breakthroughs and achievements now trigger the formation of vast digital oceans with exponentially rising tides. There is no end in sight. Within this data abundance, a transition to the Analytics Age has begun, where advancements in Data Science promise to drive innovation and discovery for the foreseeable future. The speed of this transition has left most IT and research support organizations unprepared and unable to keep their storage and data management practices relevant. Most are in survival mode. Organizations that thrive in this new era will learn to understand their data’s true value and balance traditional storage best practices with targeted innovation. This comprehensive BioTeam workshop begins by framing the problem, highlighting needs, and outlining use cases for storage in life sciences. It next provides a thorough review of storage types, fle systems, networking considerations, and compute interactions. After covering service, management, and policy issues, this workshop will conclude with an interactive discussion.
Ari E. Berman, Ph.D., Vice President and General Manager of Consulting Services, BioTeam, Inc.
Aaron Gardner, Senior Scientifc Consultant, BioTeam, Inc.
Course Introduction by: Jeff Tabor Sr., Director, Product Management and
Marketing, Avere Systems
Cloud is quickly becoming the new normal for Bio-IT. Amazon Web Services (AWS) offers a wide array of products that can be pieced together to support diverse workloads for scientifc computing. This workshop covers the foundational AWS products of compute, storage, and databases necessary for research workfows. We will dive deep into Amazon Elastic Compute
Cloud (EC2), Amazon Simple Storage Service (S3), and what to use when for research computing. Finally, we will cover High-Performance Computing on AWS and introduce the CloudFormation provisioning and orchestration service. This workshop will be hands-on with self-paced tutorials as well as live demos as time permits.
Adam Kraut, Senior Scientifc Consultant, BioTeam, Inc.
Course Introduction by: Michelle Munson, President, CEO & Co-Founder, Cloud,
Aspera, an IBM Company
Matthew Trunnell, Vice President and Chief Information Officer, Fred Hutchinson Cancer Center
Patricia Kovatch, Associate Dean for Scientific Computing, Mount Sinai School of Medicine
James Cuff, Assistant Dean and Distinguished Engineer for Research Computing, Harvard University
Dan Stanzione, Ph.D., Executive Director, Texas Advanced Computing Center, The University of Texas at Austin
Nancy Wilkins-Diehr, Associate Director, San Diego Supercomputer Center
Ruth Marinshaw, Chief Technology Officer, Research Computing, Stanford University
Markus Dittrich, Senior Scienti c Consultant, BioTeam, Inc.
Shawn Levy, Faculty Investigator, HudsonAlpha Institute for Biotechnology
Doreen Ware, Computational Biologist, USDA Agricultural Research Service
Bret Martin, Principal Research Computing Architect, Data Science and Information Technology, H3 Biomedicine
Jeff Tabor Sr., Director, Product Management and Marketing, Avere Systems
James Marsteller, Security Officer, Pittsburgh Super Computing Center
Ketan Paranjape, General Manager, Life Sciences, Health and Life Sciences, Intel
Chris Dagdigian, Co-Founder and Principal Consultant, BioTeam, Inc.
Vivien Bonazzi, Ph.D., Senior Advisor for Data Science Technologies, National Institutes of Health
Michelle Munson, President, CEO & Co-Founder, Cloud, Aspera, an IBM Company
Carol Rohl, Ph.D., Executive Director, Scientific Information Management, Merck & Co., Inc.
Ari Berman, Vice President & General Manager, Consulting Services, BioTeam, Inc.
Charles Schmitt, CTO & Director of Informatics, RENCI
Warren Kibbe, Director, NCI Center for Biomedical Informatics and Information Technology (CBIIT), National Cancer Institute