Biography
Thomas Bury is an applied mathematician working on tools to better understand tipping points in complex systems (see his TEDx talk for an overview). He currently works in the Faculty of Medicine at McGill University where the goal is to better predict a tipping point in the human heart—a cardiac arrhythmia. This work is in collaboration with cardiologists and experimental scientists. Besides research, he is a technical author for the Medium publication Towards Data Science and teaches a range of graduate and undergraduate courses.
- Deep learning
- Dynamical systems
- Mathematical modelling
- Cardiology
- Open source
PhD in Applied Mathematics, 2020
University of Waterloo, Canada
MMath in Mathematics and Theoretical Physics, 2015
University of Cambridge, UK
BA in Mathematics, 2014
University of Cambridge, UK
Experience
- Member of the Bub lab.
- Awarded a FRQNT Postdoctoral Research Scholarship ($45k per annum).
- Supervise 1 graduate and 2 undergraduate students.
- Foundations of Quantitative Life Sciences: Nonlinear dynamics.
- 15-18 graduate students
- Mathematical modeling and analysis of birdsong.
- Advisors: Dr. Chris Bauch, Dr. Madhur Anand
- Thesis: “Detecting and distinguishing transitions in ecological systems: model and data-driven approaches”.
- Calculus I for the Sciences. 115 undergraduate students.
- Analysis and modelling of disease incidence data from the 2009 Influenza outbreak
Selected publications
Public talks
TEDx conference
An accessible overview of how mathematics can help us understand and predict tipping points.
Centre de recherches mathématiques
A more technical presentation of my research on using deep learning to predict tipping points.
Three-Minute Thesis, University of Waterloo
A 3-minute summary of my PhD thesis at the finals of the Three-Minute Thesis competition.
Contact
- thomas[dot]bury[at]mcgill[dot]ca
- McGill University, 845 Sherbrooke St W, Montréal, Québec H3A 0G4