Learning in Public.
Not everything needs to be a polished, 3,000-word essay. This is my digital garden—a place for raw notes, code snippets, paper summaries, and half-baked ideas. It grows over time.
Antimatter (IOP) — Why does reality prefer matter?
Half-baked idea: if antimatter is the mirror twin, maybe the universe has a cosmic bias setting hidden in plain sight. I want to read this and see whether my intuition is deep or just expensive sci-fi fan fiction in a blazer.
A&A 2018 Paper — Star formation, but with receipts
Half-baked idea: every stellar nursery is basically a chaotic startup incubator with gravity as the VC. I want to decode how they model this and see if some of those inference tricks can inspire better uncertainty thinking in ML pipelines.
IAEA SEP_03 — Serious science with reactor-grade consequences
Half-baked idea: nuclear literature reads like systems engineering with no room for vibes, and that is exactly why I like it. I want to mine this paper for how experts reason when the error budget is basically 'do not explode'.
IEEE 9783210 — Engineering signal from chaos
Half-baked idea: this looks like one of those papers where the abstract feels innocent, but equation 7 quietly changes your worldview. I want to unpack the core method and see where it can plug directly into my production ML workflows.