Summary
Dominic Nelson is a computational genetics PhD candidate at McGill with 11 years of software and quantitative experience, combining an M.Sc. in mathematics with deep expertise in Python and C for high-performance simulation and statistical methods. He designs and implements algorithms and production-ready software for large-scale genetics data, including a performance-focused extension to the msprime C library while visiting Oxford. Comfortable across the stack—from numpy/pandas prototyping to C performance engineering, Bash pipelines, and Git workflows—he also supervises students and translates mathematical ideas into efficient code. Prior field leadership managing large-scale environmental monitoring programs demonstrates his ability to coordinate teams and stakeholder engagement in complex, real-world settings.
11 years of coding experience
Master of Science (M.Sc.), Mathematics, Master of Science (M.Sc.), Mathematics at University of Guelph
Doctor of Philosophy - PhD, Computational Genetics, Doctor of Philosophy - PhD, Computational Genetics at McGill University