Steve serves as President and a Board Director of Digital Science Research Solutions Inc., alongside board roles for its international counterparts. His extensive career includes leadership positions at 52Inc and Collexis Holdings, where he drove substantial growth, fundraising, and market expansion. Steve's background also encompasses general management at IBM and founding his own company, complemented by an MBA from The Pennsylvania State University’s Smeal College of Business.
This session explores how knowledge graphs and generative AI build a trusted data foundation for drug target identification and repurposing. Unifying disparate data—from internal and external omics data to scientific literature—is crucial. Knowledge graphs provide structured, domain data, enabling trustworthiness. Generative AI, coupled with these graphs, can propose novel molecules, predict interactions, and identify new drug uses, accelerating discovery workflows with inherent explainability.