Danielle has a technical background in analytical chemistry, mass spectrometry, and software product development, and brings experience in managing software products to the informatics industry. She leverages over 13 years of technical expertise in analytical sciences, complemented by 9+ years in customer-facing roles.
With a focus on market trends, technical innovation, and customer success, Danielle is dedicated to driving the development of informatics solutions that meet complex customer needs in dynamic, fast-paced environments.
Despite generating thousands of analytical experiments, research organizations face a critical paradox: the more data they create, the harder it becomes to find and reuse. This presentation examines how critical information becomes trapped in disconnected systems designed for capture rather than discovery and explores the technical and organizational barriers preventing analytical data from achieving FAIR principles. We then demonstrate how digital assets and transferable pipelines can break this data redundancy cycle, transforming siloed experiments into coherent, queryable knowledge bases ready for seamless integration into any downstream workflow.