Hi, I’m Yuta Agawa — an independent researcher working at the intersection of Mathematical Physics, Computational Neuroscience, and Foundational Machine Learning.
I focus on first-principles, structure-level analysis: from proving emergent integrability in Wegner-type quantum flow equations to deriving gamma-invariant conditions for architectural hazards in temporal-difference learning. In parallel, I’m designing a next-generation differentiable programming language for high-performance mathematical modelling.
My papers, preprints, and technical proposals are listed on my ORCID profile.
A Note on Navigation: On ORCID, titles prefixed with [Theoretical Hypothesis] denote my personal exploratory work in pure theory (distinct from my formal research and engineering outputs).
For more context — including what motivates this work and how I organise my research portfolio — please see the About Me page.
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ORCID iD:0009-0005-6336-0403
YutaAgawa
@yuta.agawa
@yuta.agawa
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Your support, starting from the price of a cup of coffee, is a direct encouragement to me as an independent researcher without academic or financial backing.
