Research
Questions before answers.
I use a small set of open questions to connect machine learning, mathematical thinking, and applied physics.
Current directions
Learning systems
How can intelligent systems learn while making their reasoning easier to understand?
Neural networks, interpretability, and productive human–AI collaboration.
Models and reality
When does a mathematical model become genuinely useful?
Optimization, scientific problem decomposition, and practical decision-making.
Energy and scale
How can first-principles physics become a practical energy system?
Renewable energy, engineering trade-offs, and credible systems beyond the laboratory.
Working method
I begin with first principles, rebuild the smallest useful version, and document where intuition disagrees with experiment.
My current work is exploratory and independent. Formal publications will be listed separately once they are released.
Discuss a question
I welcome thoughtful conversations about interpretable systems, research tooling, optimization, and sustainable technology.