May 24

Watch Now

Key technologies like Big Data, Artificial Intelligence and the Internet of Things – along with the flexibility of a cloud delivery model – are reshaping what’s possible in data-driven research.

To remain competitive and attract top students and staff, universities must increasingly invest in high-performance computing infrastructure and advanced analytics solutions.

Join us on Wednesday, May 24, from 10:00 a.m. to 11:00 a.m. (PT) to hear more about how your research university can:

• Ingest and integrate data securely to gain improved insight for better decision-making
• Implement a governance strategy to better manage data quality
• Provide enterprise-wide Big Data environments
• Enable streamlined collaboration networks between academia, government and commercial entities

We look forward to your participation!


Gary Gabriel, Ph.D.

Gary Gabriel, Ph.D. — speaker

Director, Academic Research Strategic Program, Oracle Public Sector North America

Dr. Gabriel has spent over 15 years establishing business and technology initiatives within life sciences and precision human health, animal health and agricultural sciences. He has worked within government, academic and industry science sectors. As Director of Academic Research Strategic Program at Oracle, Gary targets market development in the same sectors within higher education. He is responsible for the go to market strategy for Oracle's Research at Scale initiatives. He is currently establishing business and technology partnerships with the top 20 academic medical centers, Veterinary schools and CALS precision informatics programs in the Eastern United States. Gary, holds a Ph.D. in Biochemistry from Howard University College of Medicine.

Manuel Martin Marquez

Manuel Martin Marquez — speaker

Data Scientist, CERN openlab

Manuel Martin Marquez obtained his first M.Sc. degree in Computer Sciences in 2008 and a second M.Sc. in Soft Computing and Intelligence Information Systems in 2011 both at the University of Granada, Spain. He is a member of the Soft Computing and Intelligent Information Systems (SCI2S) research group and the Distributed Computational Intelligence and Time Series research lab (DICITS). In 2007 he joined the Beam department of the European Centre for Nuclear Research (CERN). A that time he was co-leading the data management/engineering activities for the CERN Control Configuration Database and the Front-End Software Architecture, both projects of critical importance for improving the operations of the Large Hadrons Collider (LHC) and the rest of the CERN's accelerators complex. Currently, Manuel is a CERN openlab Senior Research Fellow, in the CERN IT department. His main activities in this position focus on the development of new techniques and approaches for Big Data Analytics and the implementation of the CERN’s Data Analytics as a Service infrastructure – DAaaS. This Infrastructure centralizes and standardizes the complex data analytics requirements for the wide CERN research and engineering community. Manuel’s current areas of interest are time series analysis and modelling, distributed/parallel computational intelligence, data mining, and learning theory.

Steven Zink

Steven Zink — Moderator

Sr. Fellow, Center for Digital Education