Dr. Ramses van Zon

SciNet high-performance computing analyst

Sessional lecturer in Physics

University of Toronto



Ramses van Zon obtained his Ph.D. in Theoretical Physics at Utrecht University. He has worked on non-equilibrium statistical physics at the Rockefeller University in New York, and glassy systems and molecular dynamics simulations at the Chemical Physics Theory Group of the University of Toronto. He has extensive experience with scientific computing, distributed and shared memory computing, advanced algorithms for molecular dynamics, bioinformatics computations and workflows.

At SciNet, he coordinates and takes part in delivering SciNet’s training and education efforts such as workshops, courses, user group meetings, summer schools, and graduate courses on scientific computing. He also provides advice and support to users on topics such as code optimization, application porting, workflow, improving efficiency, and parallel programming.

On a national level, he is a member of Research National Support Team of the Digital Research Alliance of Canada, and he coordinates Canada’s role in the annual SciNet-sponsored International Summer School on HPC Challenges.

Areas of Expertise

  • Advanced Research Computing
  • Training and education in Research Computing
  • User and application support
  • Technical Documentation
  • User Facing Tools


Select Publications

  • R. van Zon, M. Ponce
    Parallelizing a 1-Dim Nagel-Schreckenberg Traffic Model; part of Peachy Parallel Assignments (EduHPC 2023)
    in Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, pp 366–373 (2023).
  • M. Ponce, R. van Zon
    Cybersecurity Training for Users of Remote Computing
    J. Comp. Science Education 14 (2), pp 10-17 (2023).
  • R. van Zon, M. Ponce
    Software-Enhanced Teaching and Visualization Capabilities of an Ultra-High-Resolution Video Wall
    in Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning) (PEARC ’19), Article 120 (4 pages) (ACM, New York, NY, USA, 2019).
  • M. Ponce, R. van Zon, S. Northrup, D. Gruner, J. Chen, F. Ertinaz, A. Fedoseev, L. Groer, F. Mao, B.C. Mundim, M. Nolta, J. Pinto, M. Saldarriaga, V. Slavnic, E. Spence, C.-H. Yu, W.R. Peltier
    Deploying a Top-100 Supercomputer for Large Parallel Workloads: the Niagara Supercomputer
    in Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (Learning) (PEARC ’19), Article 34 (8 pages) (ACM, New York, NY, USA, 2019).
  • R. van Zon, M. Ponce, E. Spence, D. Gruner
    Trends in Demand, Growth, and Breadth in Scientific Computing Delivered by a High-Performance Computing Center
    J. Comp. Science Education 10 (1), 53–60 (2019).

Links to these papers can be found in the complete list of publications.


Email: rzon AT scinet DOT utoronto DOT ca
Address: MaRS West Tower, suite 1140, 661 University Ave, Toronto, ON M5G 1M1, Canada