Genomic sequencing, clinical trials, imaging archives, regulatory submissions… life sciences teams deal with some of the most complex unstructured data environments out there. And 8 of the top 10 pharmaceutical companies already use Starfish to manage it.
Starfish Storage is returning to Bio-IT World 2026. Our platform gives life sciences teams visibility into billions of files across Lustre, GPFS, NFS, object stores, and cloud storage. Find data, track usage, identify what’s ready for archive, and build accurate cost projections, all without custom scripts or IT tickets.
Whether you’re running genomics pipelines or trying to get storage costs under control, stop by. We’ll show you what metadata-driven data management looks like in practice.
Come see us at Booth 109!
Also, make sure to check out our Chief Science Officer, Ari Berman’s talks:
WORKSHOP W4: Making Data AI-Ready
Lead: Fernanda Foertter
Tue, May 19, 1:15 – 4:15pm
Ari’s 25min talk will start at around 2:40 pm
Title: AI Data Readiness at Scale: Effective Data Management Approaches in a Contradictory World
Abstract: Data management in research or any analytics environment is challenging at best, and gets harder as data and organizations scale. Making effective use of data assets to advance the organization’s goals is complex in unstructured data storage landscapes. This talk will explore the challenges of managing large-scale data in today’s evolving hardware market, fluctuating economy, and shifting productivity expectations. We’ll examine current trends in analytics and data production in an increasingly AI-driven market, as well as the impact of NVMe and memory availability. We’ll also discuss how these factors shape data management decisions, and walk through a practical approach to handling data at scale. Attendees will leave with a clearer understanding of the tradeoffs involved and concrete strategies they can apply to their own environments.
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PLENARY SESSION: Innovative Practices Award Use Case Talk
Thu, May 21, 10:45 – 11:05am
Title: From Unsearchable Archive to Self-Service Knowledge Platform: How ASU Transformed 20 Years of Indigenous Health Imaging Data (Innovative Practices Winner)
Abstract: For over two decades, a Bolivian hospital has collected CT scans of the Tsimane indigenous population as part of Arizona State University’s Tsimane Health and Life History Project, creating a unique longitudinal archive for studying healthy aging. But the archive was functionally unsearchable. Inconsistent Digital Imaging and Communications in Medicine (DICOM) metadata across more than 20 years of scanner evolution meant every researcher request required days of manual investigation by ASU’s IT team.
ASU’s Center for Evolution and Medicine partnered with Starfish Storage to transform this archive into a self-service, consent-governed knowledge platform. Using metadata-driven virtualization, researchers now discover and access imaging data in minutes instead of weeks. Policy-based access controls enforce Tsimane community consent agreements automatically. The deployment eliminated hours of weekly manual curation that had become unsustainable as collaboration scaled, while enabling dozens of global collaborators to work independently.
