Investigating physical systems through analytical reasoning, numerical simulation, and computational tools that connect mathematical models with observable behavior.
Developing clear university teaching materials, examples, and demonstrations that help students build intuition for physics, mathematics, and scientific computing.
Writing practical learning notes on Python, artificial intelligence, web technologies, and the evolving tools that support research and education.
Building a lasting academic archive of publications, reflections, code, figures, and reusable resources shaped by continuous learning and careful inquiry.