Matthew Phelps is a Clinical Data Scientist Specialist with 11 years of experience applying epidemiology and public health expertise to automate and scale clinical data processes for regulatory and HTA submissions. At Novo Nordisk he leads technical initiatives—most notably a scalable ADaM automation platform and an open-source R framework—that have halved or better clinical data scientist effort in key workflows. He blends hands-on implementation, technical leadership, and stakeholder engagement across the clinical data value chain, and has driven GenAI adoption for biostatistics through an ambassador group and research into fine-tuning LLMs for SAS code generation. Prior roles in academia and global health (including a PhD in Epidemiology and an MPH from Yale) inform a pragmatic approach to reproducible, auditable analytics. Based in Copenhagen, he pairs deep domain knowledge with a knack for building practical automation that reduces time-to-submission while improving quality.
11 years of coding experience
4 years of employment as a software developer
Graduate Certificate, Geographic Information Systems (GIS), Graduate Certificate, Geographic Information Systems (GIS) at The University of Western Australia
Master of Public Health (MPH), Epidemiology, Master of Public Health (MPH), Epidemiology at Yale University
Bachelor of Art, History, Bachelor of Art, History at Purdue University
Doctor of Philosophy (PhD), Epidemiology, Doctor of Philosophy (PhD), Epidemiology at Københavns Universitet
Contributions:4 PRs, 139 pushes, 5 branches in 1 year 1 month
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Matthew Phelps - Clinical Data Scientist Specialist