Luke Rasmussen is a Senior Clinical Research Associate and seasoned programmer/analyst with 13 years of experience applying software engineering to biomedical and clinical informatics. Based in Chicago, he develops and architects EMR-integrated tools for EHR phenotyping, genomics-in-the-EHR, reproducible research, and secure data management while collaborating closely with researchers and clinicians. His background spans hands-on application development, systems analysis, and leading developer teams to productionize genomic medicine solutions at academic medical centers. An active contributor to open-source interoperability work, he has enhanced the RDotNet library to improve .NET–R integration, reflecting deep familiarity with statistical computing pipelines. He holds an MS in Medical Informatics and a clinical informatics certificate, combining technical depth with domain-focused research impact.
13 years of coding experience
16 years of employment as a software developer
Certificate, Clinical Informatics, Certificate, Clinical Informatics at Oregon Health and Science University
BS, Computer Information Systems, BS, Computer Information Systems at University of Wisconsin-Stevens Point
Master of Science (M.S.), Medical Informatics, Master of Science (M.S.), Medical Informatics at Northwestern University
.NET interop library to call the R statistical language in the same process
Role in this project:
Back-end Developer
Contributions:35 commits, 2 PRs, 120 comments in 2 years 7 months
Contributions summary:Luke primarily contributed to the RDotNet library, focusing on enhancing its compatibility and functionality. They updated the project to use .NET 4.5 and incorporated a local DynamicInterop assembly. Key contributions included migrating R structs to R 3.5 specifications, handling character vectors from coerced vectors, and fixing indexing for ALTREP integer vectors. Further efforts involved the consistent use of ELT functions for vector accessors.
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Luke Rasmussen - Senior Clinical Research Associate