I’m finishing an undergraduate degree in microelectronics and trying to understand how inverse problems actually behave in materials and optics.

In most of my work so far, I keep running into the same pattern:

  • different mechanisms explain the same data,
  • models work before I understand why they should,
  • and the most important part is often knowing what the data cannot tell me.

This site exists because I don’t have a clean framework for that yet.

I’m using it to record where interpretation breaks down, what assumptions I relied on without noticing, and how my thinking changes when those assumptions stop holding. Some entries are careful, some are incomplete, and some are probably wrong.

This is not a portfolio of solved problems. It’s a public record of where I get stuck and how I try to get unstuck.

Current status: finishing thesis (defense May 2026), graduate cycle in progress.

Case Studies — projects treated as inference problems
Method — the framework I’m trying to build (still unstable)
Constraints — what actually limited inference
Reading Ledger — when methods helped vs misled
Notes — specific confusions I haven’t resolved
CV — background and contact
About — what this site is and why it’s public

This site reflects my current understanding. I expect parts of it to age badly.