Register: Data Lakes & FAIR Principles: Making Scientific Data Accessible and Actionable

Date: Wednesday, September 24, 2025 1–2pm EDT
Event Location: Virtual

Scientific data is growing exponentially, yet much of it remains siloed, difficult to access, and underutilized. For life sciences organizations, the ability to store, manage, and share research data effectively can directly accelerate discovery and development.

Join PTP, AWS and Quilt Data for an insightful webinar exploring how modern data lake architectures, built on AWS, can help your organization adopt FAIR data principles—Findable, Accessible, Interoperable, and Reusable—to unlock the full potential of your scientific data.

In this session, you’ll learn:

• Why FAIR data principles are essential for maximizing the value of research data
• How AWS-powered data lakes enable secure, scalable, and compliant data storage and access
• Best practices for structuring and curating scientific data to make it actionable
• Real-world examples of life sciences organizations accelerating R&D through FAIR data strategies

Aaron Jeskey

Principal Cloud Architect | PTP

Aaron Jeskey leads cloud strategy and solution delivery at PTP, where he helps life sciences organizations harness the power of AWS to accelerate research and innovation. With over 15 years of experience in cloud architecture and IT operations, Aaron specializes in designing scalable, compliant, and AI-ready environments tailored to the unique needs of biotech and pharmaceutical companies. He is a trusted advisor to early-stage and enterprise clients alike, guiding them through cloud adoption, data modernization, and AI/ML enablement.

Kevin Moore

CEO | Quilt Data

Kevin is the CEO & Co-Founder of Quilt.bio, a platform that transforms scattered life sciences data into trusted, reusable packages.
Kevin brings deep expertise in large-scale system architecture to the life sciences world. Before founding Quilt, Kevin was a researcher at Oracle Labs specializing in high-performance database processing and hardware-software design. He holds a Ph.D. in Computer Science from the University of Wisconsin.
Quilt runs natively on AWS, bundling raw data, results, and metadata into secure, versioned assets with AI-powered search and seamless integration with tools like Benchling and Amazon HealthOmics. Kevin’s mission is simple: turn data chaos into scientific clarity, accelerating discovery while maintaining FAIR and GxP compliance.

Lori Ellis

Head of Insights | BioSpace

Lori is the head of insights at BioSpace. She analyzes and comments on industry trends for BioSpace and clients. She creates engaging content for clients to support their marketing objectives. She has been part of an award-winning marketing team and has won a Muse Creative award, a Vega award and several Adobe awards in collaborative team projects for her audio narration work. Her experience in the television/film and audio industries benefits both BioSpace and partners through her moderation and hosting of live and virtual events. While she has covered all elements of the drug development process, her primary focuses are women’s health issues, the economic climate, and the ever-evolving impact of technology – specifically artificial intelligence – on the pharmaceutical industry.