Louis Mullie
Director Of Medical AI at BMJ
Montreal, Quebec, Canada
Summary
🤩
Rockstar🎓
Top SchoolLouis Mullie is a physician-engineer who leads Medical AI as Director at Doximity, bringing 14 years of clinical and research experience at the intersection of critical care and machine learning. Trained at McGill (MD) and Johns Hopkins (Biomedical Engineering), he pairs frontline ICU practice at CHUM with postdoctoral AI research at Mila to translate advanced models into clinically reliable tools. He co-founded a digital health startup, Pathway Medical, and serves as an expert peer reviewer for BMJ Digital Health & AI, reflecting a strong blend of product, clinical governance, and academic rigor. His open-source work—contributions to Ruby NLP tooling and test-hardened readability projects—signals practical engineering chops and attention to reproducible evaluation. Colleagues describe him as someone who bridges deep clinical empathy with pragmatic ML engineering, often surfacing subtle data-quality fixes that improve model safety in care settings. Based in Montreal, he focuses on moving research-grade AI into accountable, production-ready clinical workflows.
14 years of coding experience
11 years of employment as a software developer
Johns Hopkins UniversityM.D. C.M. Medicine, M.D. C.M. Medicine at McGill University
English, French
Github Skills (11)
ruby10
rspec10
nlp10
natural-language-processing10
testing10
dependency-injection9
api8
algorithms8
apim8
algorithm8
implement8
Programming languages (13)
Github contributions (5)
louismullie/treat
Jan 2012 - May 2017
Natural language processing framework for Ruby.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:993 commits, 11 PRs, 9 pushes in 5 years 4 months
Contributions summary:Louis appears to be contributing to natural language processing functionality for Ruby by adding and modifying code related to part-of-speech tagging. This includes the creation of data structures (Hash tables), the integration of third-party libraries, and the modification of file paths to provide a working solution for the project. The commit history indicates work is also focused on the integration of external language tools, specifically for handling different linguistic formats.
nlplanguage-processingrubynatural-languagenatural
cantino/ruby-readability
Dec 2012 - Dec 2012
Port of arc90's readability project to Ruby
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:10 commits in 5 days
Contributions summary:Louis focused on improving the testing infrastructure of the project. Their contributions include allowing network connections for image size retrieval, updating a specification to reflect changes in the test environment. They also added fixtures for images in the test suite and disallowed true web connections. These changes improve the reliability and accuracy of tests within the readability project.
rubygemsrubyreadabilitysketchupjruby
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