Frank Lee, Ph.D., is a Distinguished Engineer and Director at IBM Storage, where he leads technical strategy, solution architecture, and expertise empowerment for go-to-market. A seasoned technologist and cross-functional leader, Frank bridges research, engineering, development, and sales to drive innovation in enterprise data and storage platform, AI-driven infrastructure and hybrid cloud solutions.
A recognized thought leader in high-performance computing (HPC), software-defined infrastructure, and cloud-to-edge architectures, Frank has pioneered reference frameworks and integrated solutions adopted by global enterprises. His High-Performance Data & AI (HPDA) architecture for Healthcare & Life Sciences has been widely implemented by leading institutions and enterprises, accelerating breakthroughs in genomics, precision medicine, and large-scale research data management.
Frank is also an innovator in the field of AI-infused metadata, with patents, peer-reviewed publications, and keynote presentations at top-tier conferences. His work empowers organizations to harness hybrid cloud, AI, HPC, and next-gen storage for transformative business outcomes.
With a Ph.D. in Molecular Genetics from WashU, Frank contributed to the historic Human Genome Project and remains a subject matter expert in bioinformatics and genomics. Today, he represents IBM in many global precision medicine initiatives, helping shape the future of data-driven healthcare.
Presentation Title:
Fueling AI Factory – Latest Advancements in IBM Storage
Presentation Abstract:
Data is the lifeblood of AI — powering innovation, insights, and intelligent platforms. As enterprises embrace AI at scale, the demands to store, serve, share, and secure vast amounts of data are growing exponentially. Join Frank Lee from IBM as he shares the advancements in IBM Storage technologies, designed to meet the unique challenges of AI development and deployment. From large-scale training to agentic inferencing, discover how IBM and its partners are redefining storage solutions to keep pace with the evolving AI landscape.