My Teaching Philosophy#
I believe strong teaching should combine mathematical rigor, intuition, and practical coding fluency.
Core Principles#
Build intuition first, then formalize with mathematics.
Use coding demos to connect equations to behavior.
Encourage questions and iterative learning.
Emphasize clarity, reproducibility, and responsible AI practice.
In Practice#
I structure lectures around a concept -> derivation -> implementation pattern.
I prioritize live examples and visual explanations.
I design material for both foundational understanding and research readiness.