Identify
Find the mechanism, constraint, or decision that controls most of the outcome.
Leading Order is a personal project focused on creating understanding through construction. The aim is to begin with the structure that matters most, construct something useful, and add complexity where it matters.
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The underlying principle
In physics, a leading-order approximation captures the dominant contribution before smaller corrections are introduced.
Leading Order applies the same principle to software development, product design, data analysis and technical communication. Begin with the simplest model that preserves what matters, test it in practice, and refine it only where the details become consequential.
Decomposing complex tasks into managable pieces and building the solution starting with the most important part helps build projects and understanding in an iterative process.
Find the mechanism, constraint, or decision that controls most of the outcome.
Build the smallest useful version that preserves the essential structure.
Observe where the first approximation succeeds and where it breaks down.
Add the next layer when it solves a real and demonstrated limitation.
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About me
A data scientist with a background in theoretical high energy physics.
I currently work in data science, where my work involves data analysis of cancer registry data.
I have always been fascinated by the way physics makes seemingly insurmountable problems tractable. Perturbation theory is a particularly clear example: first isolate the dominant behaviour, understand the simplified system, and then build from there through successive corrections. That process of reducing complexity without losing the essential structure has had a profound impact on how I think about software, data, science and the world in general. Leading Order is an attempt to apply that same principle to the things I build and explain.
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What comes next
I have many ideas for software projects in mind and currently focus on ios app development. YouTube videos about these and science topics i find interesting are also coming soon.
Explore the current work