Scientific programming
Programming foundations and computational problem solving for science students.
04
Teaching
Learning physics by doing and programming.
I organize teaching around problems, models, and computational experimentation, with resources designed to evolve across course editions.
Teaching areas
Courses and materials.
Computational physics
Numerical methods, simulation, data analysis, and reproducible practice.
Physics and materials science
Atomistic models, structure, dynamics, and the connection between theory and simulation.
Advanced training
Seminars, projects, and undergraduate and graduate student supervision.
Next stage
A course-based resource library.
The V1 establishes the structure for syllabi, guides, notebooks, code, and references organized by course, with clear versions and public or restricted access as needed.