About TxStack

TxStack is a Substack about the future of therapeutics.

It began from a simple question: what would medicine look like if therapeutic development became more measurable and adaptive? As a fourth-year medical student at Seoul National University, with an interest in the interface between clinical medicine, mechanistic biology, and computational systems, I use TxStack to study that question across biology, computation, regulation, and clinical practice.

The publication will contain study notes on the scientific and computational foundations of this shift. Topics will include stochastic processes, optimal control, biological measurement, therapeutic manufacturing, pharmaceutical economics, and regulatory science. I will also write about the engineering substrate behind programmable medicine: heterogeneous compute, systems infrastructure, and the challenge of making models operational in real clinical and research settings.

These notes are provisional and technical when needed. They are written in public as I try to understand what a more adaptive therapeutic system would require.

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I welcome pointers to papers, tools, companies, or other articles that fit this theme. Feel free to message me if you are working on related problems or think there is something I should read.

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