Summary
Daniel Seaton is a data-driven research and product leader with 11 years of experience designing and operationalizing large-scale learning analytics and assessment systems across MIT, Harvard, and Northeastern. He combines a strong technical grounding in data pipelines, analytics, and UX-driven product development with hands-on experience leading agile teams to deliver practical tools for educators and learners. His work spans research on MOOCs and learning design, building big-data pipelines and dashboards, and creating interactive assessment experiences that bring users into the design loop. Comfortable translating complex analytics for diverse stakeholders, he has repeatedly bridged academic research and production systems to inform institutional strategy. Based in Cambridge, MA, he pairs a PhD-level analytical background with a knack for simplifying student-data complexity into actionable product features.
11 years of coding experience
13 years of employment as a software developer
University of Georgia
BS Physics, BS Physics at Auburn University