Summary
Randy Kerber is a seasoned technology leader and CTO with over 13 years of focused experience applying data science, machine learning, semantic technologies, and AI to real-world problems in life sciences and enterprise domains. He currently leads technology at Data2Discovery, building solutions that help drug discovery scientists exploit networks of public life sciences data, and has run his own consulting practice since 1999. Randy’s career blends hands-on research (from Lockheed Martin and ISI) with product development—authoring a visual ontology modeling tool and contributing to data mining practices at Teradata, including early involvement with CRISP-DM. He is skilled at turning complex semantic models and optimization techniques into usable software and analytic pipelines for business and scientific users. Based in Cañon City, Colorado, he brings a rare mix of long-term R&D depth and pragmatic delivery across startups and established firms. A not-obvious strength is his sustained focus on diagram-based and model-driven tools that make advanced AI and ontologies accessible to domain experts.
13 years of coding experience
13 years of employment as a software developer
M.S., Computer Engineering, M.S., Computer Engineering at University of Southern California
B.S., Computer Science, B.S., Computer Science at University of Minnesota