With the increased demand in computing power from life science researchers and scientists tackling big data issues, storage and infrastructure must be able to scale to handle billions of data points and files efficiently. The problem is administration
of data to ensure information can be integrated, accessed, shared, linked, analyzed, and maintained to best effect across the organization. The Data and Metadata Management track will explore how to manage workflows with data and metadata without
rerunning everything, but with the ability to handle data updates and new versions of the software. We will also explore how to associate the processed data and features with the raw data for analysis purposes.
AbbVie’s Integrated Design Explorer and Analytics Solution
Rishi Gupta, PhD, Senior Research Scientist, AbbVie, Inc.
Automatic Mass Spectrometry Data Process for Drug Development: From Biological Samples to Digital Results
Felipe Albrecht, Bioinformatics and Computer Scientist, Pharma Research and Early Development (pRED), Roche
Defending against the Persistence of Inevitability
Brian Bissett, MBA, MSEE, FAC P/PM, IT Specialist, Hardware Engineering, US Government
Cascadia Data Discovery Initiative: Accelerating Health Innovation and Cancer Research through Collaboration, Data Sharing, and Data-Driven Research
Matthew Trunnell, Vice President and Chief Data Officer , Fred Hutchinson Cancer Research Center
Building a Toolkit for FAIR Implementation by Life Science Industry
Ian Harrow, PhD, Consultant Project Manager and Manager, FAIR Implementation and Ontologies Mapping Project, Pistoia Alliance
The National Microbiome Data Collaborative: A FAIR Data Resource for Microbiome Research
Kjiersten Fagnan, PhD, Chief Informatics Officer, Data Science and Informatics Leader, DOE Joint Genome Institute, Lawrence Berkeley National Laboratory
KEYNOTE SESSION: Trends from the Trenches 2020
Chris Dagdigian, Co-Founder and Senior Director, Infrastructure, BioTeam, Inc.
Additional Speakers to be Announced