Summary
Thomas Bury is an applied mathematician and assistant professor specializing in dynamical systems and machine learning for biological and medical problems, with eight years of experience across academia and cloud-enabled research. He has developed open-source tools for detecting tipping points in time series, applied them to ecology and climate, and translated that expertise to large-scale cardiac arrhythmia prediction using cloud resources and GPU-enabled models. At McGill he pre-processed ECGs from over 12,000 patients, built unsupervised pipelines and interactive dashboards, and trained reinforcement-learning agents to generate arrhythmias, demonstrating a rare blend of theory, software engineering and clinical collaboration. He is proficient in Python, MATLAB, R and C, practices modern software development (CI/CD, unit tests, containers), and has supervised graduate and undergraduate research. His work bridges rigorous mathematical modelling with production-ready tooling, often revealing early-warning signals in complex biological systems.
8 years of coding experience
11 years of employment as a software developer
BA MMATH Mathematics, BA MMATH Mathematics at University of Cambridge
Doctor of Philosophy Applied Mathematics, Doctor of Philosophy Applied Mathematics at University of Waterloo
English, French