Christopher Hammill is a Senior Data Scientist with 11 years of experience turning heterogeneous biological and clinical datasets into actionable insight, currently applying machine learning to medical imaging at Unity Health Toronto. His background spans neuroinformatics, statistical ecology, bioinformatics, and visualization, and he has a track record of building reproducible analysis pipelines and maintaining open-source neuroimaging tools. Christopher led bioinformatics efforts on type 1 diabetes research, curated large cohort data for the POND neurodevelopmental project, and implements novel statistical approaches for real-world health studies. Comfortable translating object-oriented algorithms into user-friendly R tools, he emphasizes rigorous data curation, interpretability, and collaborative, cross-disciplinary work. He seeks roles where he can both contribute to diverse quantitative teams and continue growing as an analytical thinker.
10 years of coding experience
7 years of employment as a software developer
Master of Science (M.Sc.), Statistical Ecology, Master of Science (M.Sc.), Statistical Ecology at Memorial University, Newfoundland and Labrador
Bachelor’s Degree, Biology, Bachelor’s Degree, Biology at University of Waterloo
Contributions:1 PR, 87 pushes, 25 branches in 5 years 7 months
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